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172.64.146.215
Public Scan
Submitted URL: https://grahlmann.nl/
Effective URL: https://www.linkedin.com/in/grahlmann
Submission: On December 20 via api from US — Scanned from NL
Effective URL: https://www.linkedin.com/in/grahlmann
Submission: On December 20 via api from US — Scanned from NL
Form analysis
8 forms found in the DOMPOST https://www.linkedin.com/uas/login-submit
<form data-id="sign-in-form" action="https://www.linkedin.com/uas/login-submit" method="post" novalidate="" class="mt-1.5 mb-2">
<input name="loginCsrfParam" value="3ca1400d-441f-4fe4-8afa-6732c5add71d" type="hidden">
<div class="flex flex-col">
<div class="mt-1.5" data-js-module-id="guest-input">
<div class="flex flex-col">
<label class="input-label mb-1" for="public_profile_top-card_title-modal-id_sign-in-modal_session_key"> E-mail of telefoonnummer </label>
<div class="text-input flex">
<input class="text-color-text font-sans text-md outline-0 bg-color-transparent grow" autocomplete="username" id="public_profile_top-card_title-modal-id_sign-in-modal_session_key" name="session_key" required=""
data-tracking-control-name="public_profile_top-card_title-modal_contextual-sign-in-modal_sign-in-modal_sign-in-session-key" data-tracking-client-ingraph="" type="text">
</div>
</div>
<p class="input-helper mt-1.5" for="public_profile_top-card_title-modal-id_sign-in-modal_session_key" role="alert" data-js-module-id="guest-input__message"></p>
</div>
<div class="mt-1.5" data-js-module-id="guest-input">
<div class="flex flex-col">
<label class="input-label mb-1" for="public_profile_top-card_title-modal-id_sign-in-modal_session_password"> Wachtwoord </label>
<div class="text-input flex">
<input class="text-color-text font-sans text-md outline-0 bg-color-transparent grow" autocomplete="current-password" id="public_profile_top-card_title-modal-id_sign-in-modal_session_password" name="session_password" required=""
data-tracking-control-name="public_profile_top-card_title-modal_contextual-sign-in-modal_sign-in-modal_sign-in-password" data-tracking-client-ingraph="" type="password">
<button aria-live="assertive" aria-relevant="text" data-id="sign-in-form__password-visibility-toggle" class="font-sans text-md font-bold text-color-action z-10 ml-[12px] hover:cursor-pointer" aria-label="Geef uw LinkedIn-wachtwoord weer"
data-tracking-control-name="public_profile_top-card_title-modal_contextual-sign-in-modal_sign-in-modal_sign-in-password-visibility-toggle-btn" type="button">Weergeven</button>
</div>
</div>
<p class="input-helper mt-1.5" for="public_profile_top-card_title-modal-id_sign-in-modal_session_password" role="alert" data-js-module-id="guest-input__message"></p>
</div>
<input name="session_redirect" value="https://nl.linkedin.com/in/grahlmann/overlay/about-this-profile/" type="hidden">
<!---->
</div>
<div data-id="sign-in-form__footer" class="flex justify-between
sign-in-form__footer--full-width">
<a data-id="sign-in-form__forgot-password" class="font-sans text-md font-bold link leading-regular
sign-in-form__forgot-password--full-width" href="https://www.linkedin.com/uas/request-password-reset?trk=public_profile_top-card_title-modal_contextual-sign-in-modal_sign-in-modal_forgot_password" data-tracking-control-name="public_profile_top-card_title-modal_contextual-sign-in-modal_sign-in-modal_forgot_password" data-tracking-will-navigate="">Wachtwoord vergeten?</a>
<!---->
<input name="trk" value="public_profile_top-card_title-modal_contextual-sign-in-modal_sign-in-modal_sign-in-submit" type="hidden">
<button class="btn-md btn-primary flex-shrink-0 cursor-pointer
sign-in-form__submit-btn--full-width" data-id="sign-in-form__submit-btn" data-tracking-control-name="public_profile_top-card_title-modal_contextual-sign-in-modal_sign-in-modal_sign-in-submit-btn" data-tracking-client-ingraph=""
data-tracking-litms="" type="submit"> Aanmelden </button>
</div>
<div class="sign-in-form__divider left-right-divider pt-2 pb-3">
<p class="sign-in-form__divider-text font-sans text-sm text-color-text px-2"> of </p>
</div>
<input type="hidden" name="controlId" value="public_profile_v3_desktop-public_profile_top-card_title-modal_contextual-sign-in-modal_sign-in-modal_sign-in-submit-btn"><input type="hidden" name="pageInstance"
value="urn:li:page:public_profile_v3_desktop_jsbeacon;pvsCjCDzQwG5miRQr0VDnQ==">
</form>
POST https://www.linkedin.com/uas/login-submit
<form data-id="sign-in-form" action="https://www.linkedin.com/uas/login-submit" method="post" novalidate="" class="mt-1.5 mb-2">
<input name="loginCsrfParam" value="3ca1400d-441f-4fe4-8afa-6732c5add71d" type="hidden">
<div class="flex flex-col">
<div class="mt-1.5" data-js-module-id="guest-input">
<div class="flex flex-col">
<label class="input-label mb-1" for="public_profile_profile-info-subheader_sign-in-modal_session_key"> E-mail of telefoonnummer </label>
<div class="text-input flex">
<input class="text-color-text font-sans text-md outline-0 bg-color-transparent grow" autocomplete="username" id="public_profile_profile-info-subheader_sign-in-modal_session_key" name="session_key" required=""
data-tracking-control-name="public_profile_profile-info-subheader_contact-info_modal_contextual-sign-in-modal_sign-in-modal_sign-in-session-key" data-tracking-client-ingraph="" type="text">
</div>
</div>
<p class="input-helper mt-1.5" for="public_profile_profile-info-subheader_sign-in-modal_session_key" role="alert" data-js-module-id="guest-input__message"></p>
</div>
<div class="mt-1.5" data-js-module-id="guest-input">
<div class="flex flex-col">
<label class="input-label mb-1" for="public_profile_profile-info-subheader_sign-in-modal_session_password"> Wachtwoord </label>
<div class="text-input flex">
<input class="text-color-text font-sans text-md outline-0 bg-color-transparent grow" autocomplete="current-password" id="public_profile_profile-info-subheader_sign-in-modal_session_password" name="session_password" required=""
data-tracking-control-name="public_profile_profile-info-subheader_contact-info_modal_contextual-sign-in-modal_sign-in-modal_sign-in-password" data-tracking-client-ingraph="" type="password">
<button aria-live="assertive" aria-relevant="text" data-id="sign-in-form__password-visibility-toggle" class="font-sans text-md font-bold text-color-action z-10 ml-[12px] hover:cursor-pointer" aria-label="Geef uw LinkedIn-wachtwoord weer"
data-tracking-control-name="public_profile_profile-info-subheader_contact-info_modal_contextual-sign-in-modal_sign-in-modal_sign-in-password-visibility-toggle-btn" type="button">Weergeven</button>
</div>
</div>
<p class="input-helper mt-1.5" for="public_profile_profile-info-subheader_sign-in-modal_session_password" role="alert" data-js-module-id="guest-input__message"></p>
</div>
<input name="session_redirect" value="https://nl.linkedin.com/in/grahlmann/overlay/contact-info/" type="hidden">
<!---->
</div>
<div data-id="sign-in-form__footer" class="flex justify-between
sign-in-form__footer--full-width">
<a data-id="sign-in-form__forgot-password" class="font-sans text-md font-bold link leading-regular
sign-in-form__forgot-password--full-width" href="https://www.linkedin.com/uas/request-password-reset?trk=public_profile_profile-info-subheader_contact-info_modal_contextual-sign-in-modal_sign-in-modal_forgot_password" data-tracking-control-name="public_profile_profile-info-subheader_contact-info_modal_contextual-sign-in-modal_sign-in-modal_forgot_password" data-tracking-will-navigate="">Wachtwoord vergeten?</a>
<!---->
<input name="trk" value="public_profile_profile-info-subheader_contact-info_modal_contextual-sign-in-modal_sign-in-modal_sign-in-submit" type="hidden">
<button class="btn-md btn-primary flex-shrink-0 cursor-pointer
sign-in-form__submit-btn--full-width" data-id="sign-in-form__submit-btn" data-tracking-control-name="public_profile_profile-info-subheader_contact-info_modal_contextual-sign-in-modal_sign-in-modal_sign-in-submit-btn"
data-tracking-client-ingraph="" data-tracking-litms="" type="submit"> Aanmelden </button>
</div>
<div class="sign-in-form__divider left-right-divider pt-2 pb-3">
<p class="sign-in-form__divider-text font-sans text-sm text-color-text px-2"> of </p>
</div>
<input type="hidden" name="controlId" value="public_profile_v3_desktop-public_profile_profile-info-subheader_contact-info_modal_contextual-sign-in-modal_sign-in-modal_sign-in-submit-btn"><input type="hidden" name="pageInstance"
value="urn:li:page:public_profile_v3_desktop_jsbeacon;pvsCjCDzQwG5miRQr0VDnQ==">
</form>
POST https://www.linkedin.com/uas/login-submit
<form data-id="sign-in-form" action="https://www.linkedin.com/uas/login-submit" method="post" novalidate="" class="mt-1.5 mb-2">
<input name="loginCsrfParam" value="3ca1400d-441f-4fe4-8afa-6732c5add71d" type="hidden">
<div class="flex flex-col">
<div class="mt-1.5" data-js-module-id="guest-input">
<div class="flex flex-col">
<label class="input-label mb-1" for="public_profile_mutual-connections_sign-in-modal_session_key"> E-mail of telefoonnummer </label>
<div class="text-input flex">
<input class="text-color-text font-sans text-md outline-0 bg-color-transparent grow" autocomplete="username" id="public_profile_mutual-connections_sign-in-modal_session_key" name="session_key" required=""
data-tracking-control-name="public_profile_mutual-connections_contextual-sign-in-modal_sign-in-modal_sign-in-session-key" data-tracking-client-ingraph="" type="text">
</div>
</div>
<p class="input-helper mt-1.5" for="public_profile_mutual-connections_sign-in-modal_session_key" role="alert" data-js-module-id="guest-input__message"></p>
</div>
<div class="mt-1.5" data-js-module-id="guest-input">
<div class="flex flex-col">
<label class="input-label mb-1" for="public_profile_mutual-connections_sign-in-modal_session_password"> Wachtwoord </label>
<div class="text-input flex">
<input class="text-color-text font-sans text-md outline-0 bg-color-transparent grow" autocomplete="current-password" id="public_profile_mutual-connections_sign-in-modal_session_password" name="session_password" required=""
data-tracking-control-name="public_profile_mutual-connections_contextual-sign-in-modal_sign-in-modal_sign-in-password" data-tracking-client-ingraph="" type="password">
<button aria-live="assertive" aria-relevant="text" data-id="sign-in-form__password-visibility-toggle" class="font-sans text-md font-bold text-color-action z-10 ml-[12px] hover:cursor-pointer" aria-label="Geef uw LinkedIn-wachtwoord weer"
data-tracking-control-name="public_profile_mutual-connections_contextual-sign-in-modal_sign-in-modal_sign-in-password-visibility-toggle-btn" type="button">Weergeven</button>
</div>
</div>
<p class="input-helper mt-1.5" for="public_profile_mutual-connections_sign-in-modal_session_password" role="alert" data-js-module-id="guest-input__message"></p>
</div>
<input name="session_redirect" value="https://nl.linkedin.com/in/grahlmann" type="hidden">
<!---->
</div>
<div data-id="sign-in-form__footer" class="flex justify-between
sign-in-form__footer--full-width">
<a data-id="sign-in-form__forgot-password" class="font-sans text-md font-bold link leading-regular
sign-in-form__forgot-password--full-width" href="https://www.linkedin.com/uas/request-password-reset?trk=public_profile_mutual-connections_contextual-sign-in-modal_sign-in-modal_forgot_password" data-tracking-control-name="public_profile_mutual-connections_contextual-sign-in-modal_sign-in-modal_forgot_password" data-tracking-will-navigate="">Wachtwoord vergeten?</a>
<!---->
<input name="trk" value="public_profile_mutual-connections_contextual-sign-in-modal_sign-in-modal_sign-in-submit" type="hidden">
<button class="btn-md btn-primary flex-shrink-0 cursor-pointer
sign-in-form__submit-btn--full-width" data-id="sign-in-form__submit-btn" data-tracking-control-name="public_profile_mutual-connections_contextual-sign-in-modal_sign-in-modal_sign-in-submit-btn" data-tracking-client-ingraph=""
data-tracking-litms="" type="submit"> Aanmelden </button>
</div>
<div class="sign-in-form__divider left-right-divider pt-2 pb-3">
<p class="sign-in-form__divider-text font-sans text-sm text-color-text px-2"> of </p>
</div>
<input type="hidden" name="controlId" value="public_profile_v3_desktop-public_profile_mutual-connections_contextual-sign-in-modal_sign-in-modal_sign-in-submit-btn"><input type="hidden" name="pageInstance"
value="urn:li:page:public_profile_v3_desktop_jsbeacon;pvsCjCDzQwG5miRQr0VDnQ==">
</form>
POST https://www.linkedin.com/uas/login-submit
<form data-id="sign-in-form" action="https://www.linkedin.com/uas/login-submit" method="post" novalidate="" class="mt-1.5 mb-2">
<input name="loginCsrfParam" value="3ca1400d-441f-4fe4-8afa-6732c5add71d" type="hidden">
<div class="flex flex-col">
<div class="mt-1.5" data-js-module-id="guest-input">
<div class="flex flex-col">
<label class="input-label mb-1" for="public_profile_top-card_secondary-cta-modal-id_sign-in-modal_session_key"> E-mail of telefoonnummer </label>
<div class="text-input flex">
<input class="text-color-text font-sans text-md outline-0 bg-color-transparent grow" autocomplete="username" id="public_profile_top-card_secondary-cta-modal-id_sign-in-modal_session_key" name="session_key" required=""
data-tracking-control-name="public_profile_top-card_secondary-cta-modal_contextual-sign-in-modal_sign-in-modal_sign-in-session-key" data-tracking-client-ingraph="" type="text">
</div>
</div>
<p class="input-helper mt-1.5" for="public_profile_top-card_secondary-cta-modal-id_sign-in-modal_session_key" role="alert" data-js-module-id="guest-input__message"></p>
</div>
<div class="mt-1.5" data-js-module-id="guest-input">
<div class="flex flex-col">
<label class="input-label mb-1" for="public_profile_top-card_secondary-cta-modal-id_sign-in-modal_session_password"> Wachtwoord </label>
<div class="text-input flex">
<input class="text-color-text font-sans text-md outline-0 bg-color-transparent grow" autocomplete="current-password" id="public_profile_top-card_secondary-cta-modal-id_sign-in-modal_session_password" name="session_password" required=""
data-tracking-control-name="public_profile_top-card_secondary-cta-modal_contextual-sign-in-modal_sign-in-modal_sign-in-password" data-tracking-client-ingraph="" type="password">
<button aria-live="assertive" aria-relevant="text" data-id="sign-in-form__password-visibility-toggle" class="font-sans text-md font-bold text-color-action z-10 ml-[12px] hover:cursor-pointer" aria-label="Geef uw LinkedIn-wachtwoord weer"
data-tracking-control-name="public_profile_top-card_secondary-cta-modal_contextual-sign-in-modal_sign-in-modal_sign-in-password-visibility-toggle-btn" type="button">Weergeven</button>
</div>
</div>
<p class="input-helper mt-1.5" for="public_profile_top-card_secondary-cta-modal-id_sign-in-modal_session_password" role="alert" data-js-module-id="guest-input__message"></p>
</div>
<input name="session_redirect" value="https://nl.linkedin.com/in/grahlmann" type="hidden">
<!---->
</div>
<div data-id="sign-in-form__footer" class="flex justify-between
sign-in-form__footer--full-width">
<a data-id="sign-in-form__forgot-password" class="font-sans text-md font-bold link leading-regular
sign-in-form__forgot-password--full-width" href="https://www.linkedin.com/uas/request-password-reset?trk=public_profile_top-card_secondary-cta-modal_contextual-sign-in-modal_sign-in-modal_forgot_password" data-tracking-control-name="public_profile_top-card_secondary-cta-modal_contextual-sign-in-modal_sign-in-modal_forgot_password" data-tracking-will-navigate="">Wachtwoord vergeten?</a>
<!---->
<input name="trk" value="public_profile_top-card_secondary-cta-modal_contextual-sign-in-modal_sign-in-modal_sign-in-submit" type="hidden">
<button class="btn-md btn-primary flex-shrink-0 cursor-pointer
sign-in-form__submit-btn--full-width" data-id="sign-in-form__submit-btn" data-tracking-control-name="public_profile_top-card_secondary-cta-modal_contextual-sign-in-modal_sign-in-modal_sign-in-submit-btn" data-tracking-client-ingraph=""
data-tracking-litms="" type="submit"> Aanmelden </button>
</div>
<div class="sign-in-form__divider left-right-divider pt-2 pb-3">
<p class="sign-in-form__divider-text font-sans text-sm text-color-text px-2"> of </p>
</div>
<input type="hidden" name="controlId" value="public_profile_v3_desktop-public_profile_top-card_secondary-cta-modal_contextual-sign-in-modal_sign-in-modal_sign-in-submit-btn"><input type="hidden" name="pageInstance"
value="urn:li:page:public_profile_v3_desktop_jsbeacon;pvsCjCDzQwG5miRQr0VDnQ==">
</form>
POST https://www.linkedin.com/uas/login-submit
<form data-id="sign-in-form" action="https://www.linkedin.com/uas/login-submit" method="post" novalidate="" class="mt-1.5 mb-2">
<input name="loginCsrfParam" value="3ca1400d-441f-4fe4-8afa-6732c5add71d" type="hidden">
<div class="flex flex-col">
<div class="mt-1.5" data-js-module-id="guest-input">
<div class="flex flex-col">
<label class="input-label mb-1" for="_sign-in-modal_session_key"> E-mail of telefoonnummer </label>
<div class="text-input flex">
<input class="text-color-text font-sans text-md outline-0 bg-color-transparent grow" autocomplete="username" id="_sign-in-modal_session_key" name="session_key" required=""
data-tracking-control-name="public_profile_follow_contextual-sign-in-modal_sign-in-modal_sign-in-session-key" data-tracking-client-ingraph="" type="text">
</div>
</div>
<p class="input-helper mt-1.5" for="_sign-in-modal_session_key" role="alert" data-js-module-id="guest-input__message"></p>
</div>
<div class="mt-1.5" data-js-module-id="guest-input">
<div class="flex flex-col">
<label class="input-label mb-1" for="_sign-in-modal_session_password"> Wachtwoord </label>
<div class="text-input flex">
<input class="text-color-text font-sans text-md outline-0 bg-color-transparent grow" autocomplete="current-password" id="_sign-in-modal_session_password" name="session_password" required=""
data-tracking-control-name="public_profile_follow_contextual-sign-in-modal_sign-in-modal_sign-in-password" data-tracking-client-ingraph="" type="password">
<button aria-live="assertive" aria-relevant="text" data-id="sign-in-form__password-visibility-toggle" class="font-sans text-md font-bold text-color-action z-10 ml-[12px] hover:cursor-pointer" aria-label="Geef uw LinkedIn-wachtwoord weer"
data-tracking-control-name="public_profile_follow_contextual-sign-in-modal_sign-in-modal_sign-in-password-visibility-toggle-btn" type="button">Weergeven</button>
</div>
</div>
<p class="input-helper mt-1.5" for="_sign-in-modal_session_password" role="alert" data-js-module-id="guest-input__message"></p>
</div>
<input name="session_redirect" value="https://nl.linkedin.com/in/grahlmann" type="hidden">
<!---->
</div>
<div data-id="sign-in-form__footer" class="flex justify-between
sign-in-form__footer--full-width">
<a data-id="sign-in-form__forgot-password" class="font-sans text-md font-bold link leading-regular
sign-in-form__forgot-password--full-width" href="https://www.linkedin.com/uas/request-password-reset?trk=public_profile_follow_contextual-sign-in-modal_sign-in-modal_forgot_password" data-tracking-control-name="public_profile_follow_contextual-sign-in-modal_sign-in-modal_forgot_password" data-tracking-will-navigate="">Wachtwoord vergeten?</a>
<!---->
<input name="trk" value="public_profile_follow_contextual-sign-in-modal_sign-in-modal_sign-in-submit" type="hidden">
<button class="btn-md btn-primary flex-shrink-0 cursor-pointer
sign-in-form__submit-btn--full-width" data-id="sign-in-form__submit-btn" data-tracking-control-name="public_profile_follow_contextual-sign-in-modal_sign-in-modal_sign-in-submit-btn" data-tracking-client-ingraph="" data-tracking-litms=""
type="submit"> Aanmelden </button>
</div>
<div class="sign-in-form__divider left-right-divider pt-2 pb-3">
<p class="sign-in-form__divider-text font-sans text-sm text-color-text px-2"> of </p>
</div>
<input type="hidden" name="controlId" value="public_profile_v3_desktop-public_profile_follow_contextual-sign-in-modal_sign-in-modal_sign-in-submit-btn"><input type="hidden" name="pageInstance"
value="urn:li:page:public_profile_v3_desktop_jsbeacon;pvsCjCDzQwG5miRQr0VDnQ==">
</form>
POST https://www.linkedin.com/uas/login-submit
<form data-id="sign-in-form" action="https://www.linkedin.com/uas/login-submit" method="post" novalidate="" class="mt-1.5 mb-2">
<input name="loginCsrfParam" value="3ca1400d-441f-4fe4-8afa-6732c5add71d" type="hidden">
<div class="flex flex-col">
<div class="mt-1.5" data-js-module-id="guest-input">
<div class="flex flex-col">
<label class="input-label mb-1" for="blurred-overlay-sign-in-modal_session_key"> E-mail of telefoonnummer </label>
<div class="text-input flex">
<input class="text-color-text font-sans text-md outline-0 bg-color-transparent grow" autocomplete="username" id="blurred-overlay-sign-in-modal_session_key" name="session_key" required=""
data-tracking-control-name="public_profile_sign-in-modal_sign-in-session-key" data-tracking-client-ingraph="" type="text">
</div>
</div>
<p class="input-helper mt-1.5" for="blurred-overlay-sign-in-modal_session_key" role="alert" data-js-module-id="guest-input__message"></p>
</div>
<div class="mt-1.5" data-js-module-id="guest-input">
<div class="flex flex-col">
<label class="input-label mb-1" for="blurred-overlay-sign-in-modal_session_password"> Wachtwoord </label>
<div class="text-input flex">
<input class="text-color-text font-sans text-md outline-0 bg-color-transparent grow" autocomplete="current-password" id="blurred-overlay-sign-in-modal_session_password" name="session_password" required=""
data-tracking-control-name="public_profile_sign-in-modal_sign-in-password" data-tracking-client-ingraph="" type="password">
<button aria-live="assertive" aria-relevant="text" data-id="sign-in-form__password-visibility-toggle" class="font-sans text-md font-bold text-color-action z-10 ml-[12px] hover:cursor-pointer" aria-label="Geef uw LinkedIn-wachtwoord weer"
data-tracking-control-name="public_profile_sign-in-modal_sign-in-password-visibility-toggle-btn" type="button">Weergeven</button>
</div>
</div>
<p class="input-helper mt-1.5" for="blurred-overlay-sign-in-modal_session_password" role="alert" data-js-module-id="guest-input__message"></p>
</div>
<input name="session_redirect" value="https://nl.linkedin.com/in/grahlmann" type="hidden">
<!---->
</div>
<div data-id="sign-in-form__footer" class="flex justify-between
sign-in-form__footer--full-width">
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LinkedIn en derden gebruiken essentiële en niet-essentiële cookies om onze Diensten te leveren, te beveiligen, te analyseren en te verbeteren en om u relevante advertenties (waaronder professionele en vacatureadvertenties) binnen en buiten LinkedIn te tonen. Lees meer in ons Cookiebeleid. Selecteer Accepteren of Afwijzen om niet-essentiële cookies voor dit gebruik te weigeren. U kunt uw keuzen op elk gewenst moment bijwerken in uw instellingen. Accepteren Afwijzen Naar hoofdcontent gaan LinkedIn * Artikelen * Personen * Learning * Vacatures * Games Nu lid worden Aanmelden CAROLIN GRAHLMANN MELD U AAN EN BEKIJK HET VOLLEDIGE PROFIEL VAN CAROLIN Aanmelden WELKOM TERUG E-mail of telefoonnummer Wachtwoord Weergeven Wachtwoord vergeten? Aanmelden of Door op Doorgaan te klikken om deel te nemen of u aan te melden, gaat u akkoord met de gebruikersovereenkomst, het privacybeleid en het cookiebeleid van LinkedIn. Nog geen lid van LinkedIn? Word nu lid of Nog geen lid van LinkedIn? Word nu lid Door op Doorgaan te klikken om deel te nemen of u aan te melden, gaat u akkoord met de gebruikersovereenkomst, het privacybeleid en het cookiebeleid van LinkedIn. AMSTERDAM, NOORD-HOLLAND, NEDERLAND CONTACTGEGEVENS MELD U AAN EN BEKIJK HET VOLLEDIGE PROFIEL VAN CAROLIN AANMELDEN WELKOM TERUG E-MAIL OF TELEFOONNUMMER WACHTWOORD WEERGEVEN WACHTWOORD VERGETEN? AANMELDEN OF DOOR OP DOORGAAN TE KLIKKEN OM DEEL TE NEMEN OF U AAN TE MELDEN, GAAT U AKKOORD MET DE GEBRUIKERSOVEREENKOMST, HET PRIVACYBELEID EN HET COOKIEBELEID VAN LINKEDIN. NOG GEEN LID VAN LINKEDIN? WORD NU LID OF NOG GEEN LID VAN LINKEDIN? WORD NU LID DOOR OP DOORGAAN TE KLIKKEN OM DEEL TE NEMEN OF U AAN TE MELDEN, GAAT U AKKOORD MET DE GEBRUIKERSOVEREENKOMST, HET PRIVACYBELEID EN HET COOKIEBELEID VAN LINKEDIN. 884 VOLGERS MEER DAN 500 CONNECTIES UW GEDEELDE CONNECTIES BEKIJKEN GEMEENSCHAPPELIJKE CONNECTIES MET CAROLIN WEERGEVEN AANMELDEN WELKOM TERUG E-MAIL OF TELEFOONNUMMER WACHTWOORD WEERGEVEN WACHTWOORD VERGETEN? AANMELDEN OF DOOR OP DOORGAAN TE KLIKKEN OM DEEL TE NEMEN OF U AAN TE MELDEN, GAAT U AKKOORD MET DE GEBRUIKERSOVEREENKOMST, HET PRIVACYBELEID EN HET COOKIEBELEID VAN LINKEDIN. NOG GEEN LID VAN LINKEDIN? WORD NU LID OF NOG GEEN LID VAN LINKEDIN? WORD NU LID DOOR OP DOORGAAN TE KLIKKEN OM DEEL TE NEMEN OF U AAN TE MELDEN, GAAT U AKKOORD MET DE GEBRUIKERSOVEREENKOMST, HET PRIVACYBELEID EN HET COOKIEBELEID VAN LINKEDIN. Word lid om profiel te bekijken Bericht MELD U AAN EN BEKIJK HET VOLLEDIGE PROFIEL VAN CAROLIN Aanmelden WELKOM TERUG E-mail of telefoonnummer Wachtwoord Weergeven Wachtwoord vergeten? Aanmelden of Door op Doorgaan te klikken om deel te nemen of u aan te melden, gaat u akkoord met de gebruikersovereenkomst, het privacybeleid en het cookiebeleid van LinkedIn. Nog geen lid van LinkedIn? Word nu lid of Nog geen lid van LinkedIn? Word nu lid Door op Doorgaan te klikken om deel te nemen of u aan te melden, gaat u akkoord met de gebruikersovereenkomst, het privacybeleid en het cookiebeleid van LinkedIn. Spotify * Dit profiel melden ACTIVITEIT Follow MELD U AAN EN BEKIJK HET VOLLEDIGE PROFIEL VAN CAROLIN Aanmelden WELKOM TERUG E-mail of telefoonnummer Wachtwoord Weergeven Wachtwoord vergeten? Aanmelden of Door op Doorgaan te klikken om deel te nemen of u aan te melden, gaat u akkoord met de gebruikersovereenkomst, het privacybeleid en het cookiebeleid van LinkedIn. Nog geen lid van LinkedIn? Word nu lid of Nog geen lid van LinkedIn? Word nu lid Door op Doorgaan te klikken om deel te nemen of u aan te melden, gaat u akkoord met de gebruikersovereenkomst, het privacybeleid en het cookiebeleid van LinkedIn. * Familie in Gebaren x EYE event 15 februari 2025 Ben je ouder van dove/slechthorende kind(eren) en vraag jij je af hoe je aan de slag kunt met een… FAMILIE IN GEBAREN X EYE EVENT 15 FEBRUARI 2025 BEN JE OUDER VAN DOVE/SLECHTHORENDE KIND(EREN) EN VRAAG JIJ JE AF HOE JE AAN DE SLAG KUNT MET EEN… GEMARKEERD ALS INTERESSANT DOOR CAROLIN GRAHLMANN * Looking for a job in Dublin is hard. You spend your days reading very similar job descriptions, adjusting your CV accordingly and writing a "unique"… LOOKING FOR A JOB IN DUBLIN IS HARD. YOU SPEND YOUR DAYS READING VERY SIMILAR JOB DESCRIPTIONS, ADJUSTING YOUR CV ACCORDINGLY AND WRITING A "UNIQUE"… GEMARKEERD ALS INTERESSANT DOOR CAROLIN GRAHLMANN * We have an exciting opportunity for engineers around London that wants to join our Experimentation/AB-Testing team. Spread the word:… WE HAVE AN EXCITING OPPORTUNITY FOR ENGINEERS AROUND LONDON THAT WANTS TO JOIN OUR EXPERIMENTATION/AB-TESTING TEAM. SPREAD THE WORD:… GEMARKEERD ALS INTERESSANT DOOR CAROLIN GRAHLMANN Neem nu deel om alle activiteiten te bekijken ERVARING EN OPLEIDINGEN * SPOTIFY *************** ******** - ****** **** ********* VOLLEDIGE ERVARING VAN CAROLIN WEERGEVEN Door op Doorgaan te klikken om deel te nemen of u aan te melden, gaat u akkoord met de gebruikersovereenkomst, het privacybeleid en het cookiebeleid van LinkedIn. Aanmelden WELKOM TERUG E-mail of telefoonnummer Wachtwoord Weergeven Wachtwoord vergeten? Aanmelden of Door op Doorgaan te klikken om deel te nemen of u aan te melden, gaat u akkoord met de gebruikersovereenkomst, het privacybeleid en het cookiebeleid van LinkedIn. Nog geen lid van LinkedIn? Word nu lid LICENTIES EN CERTIFICATEN * HOW GOOGLE DOES MACHINE LEARNING COURSERA Toegekend: feb. 2019 Certificatienummer: 8E69SS3P2H7G Certificaat weergeven * LAUNCHING INTO MACHINE LEARNING COURSERA Toegekend: feb. 2019 Certificatienummer: H7NTEXK4SCAZ Certificaat weergeven TALEN * ENGLISH VOLLEDIGE PROFESSIONELE VAARDIGHEID * DUTCH MOEDERTAAL OF TWEETALIG * GERMAN MOEDERTAAL OF TWEETALIG * FRENCH BEPERKTE WERKVAARDIGHEID * DUTCH SIGN LANGUAGE (NGT) BASISVAARDIGHEID MEER ACTIVITEITEN VAN CAROLIN * Nieuw in ons centrum: de Infuuts! Daar kunnen kinderen mee door de gangen fietsen, mét infuuspaal. Arts-onderzoeker Bernadette Jeremiasse (Wijnen… NIEUW IN ONS CENTRUM: DE INFUUTS! DAAR KUNNEN KINDEREN MEE DOOR DE GANGEN FIETSEN, MÉT INFUUSPAAL. ARTS-ONDERZOEKER BERNADETTE JEREMIASSE (WIJNEN… GEMARKEERD ALS INTERESSANT DOOR CAROLIN GRAHLMANN * Nieuwe baan!! Afgelopen maandag ben ik begonnen aan een toffe, nieuwe uitdaging bij het Ministerie van Volksgezondheid, Welzijn en Sport! Ik ga aan… NIEUWE BAAN!! AFGELOPEN MAANDAG BEN IK BEGONNEN AAN EEN TOFFE, NIEUWE UITDAGING BIJ HET MINISTERIE VAN VOLKSGEZONDHEID, WELZIJN EN SPORT! IK GA AAN… GEMARKEERD ALS INTERESSANT DOOR CAROLIN GRAHLMANN * De schoolplaat van ‘sloot en plas’ – die olijk bevolkte boerensloot – in onze klaslokalen van weleer, was geen overdrijving; de sloten en plassen uit… DE SCHOOLPLAAT VAN ‘SLOOT EN PLAS’ – DIE OLIJK BEVOLKTE BOERENSLOOT – IN ONZE KLASLOKALEN VAN WELEER, WAS GEEN OVERDRIJVING; DE SLOTEN EN PLASSEN UIT… GEMARKEERD ALS INTERESSANT DOOR CAROLIN GRAHLMANN * Op 6 juni is het weer zover, we mogen weer stemmen! Deze verkiezingen is er ook weer een gebarentalig stembureau in Utrecht. Ik zal zelf… OP 6 JUNI IS HET WEER ZOVER, WE MOGEN WEER STEMMEN! DEZE VERKIEZINGEN IS ER OOK WEER EEN GEBARENTALIG STEMBUREAU IN UTRECHT. IK ZAL ZELF… GEMARKEERD ALS INTERESSANT DOOR CAROLIN GRAHLMANN * I don’t even know how to even begin saying this but… I FINISHED THE BOOK. 😭🎉 It has a cover. 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WIJ HEBBEN NAMELIJK DE PRESTIGIEUZE RABOBANK… GEMARKEERD ALS INTERESSANT DOOR CAROLIN GRAHLMANN * I’m excited to share some news—I'm launching my experimentation consulting business! 🚀 Reflecting on the experiences and lessons gained at great… I’M EXCITED TO SHARE SOME NEWS—I'M LAUNCHING MY EXPERIMENTATION CONSULTING BUSINESS! 🚀 REFLECTING ON THE EXPERIENCES AND LESSONS GAINED AT GREAT… GEMARKEERD ALS INTERESSANT DOOR CAROLIN GRAHLMANN * In Nederland worden steeds minder kinderen geboren, meldt het CBS. Het geboortecijfer is met 1,49 kinderen per vrouw nog nooit zo laag geweest. Goed… IN NEDERLAND WORDEN STEEDS MINDER KINDEREN GEBOREN, MELDT HET CBS. HET GEBOORTECIJFER IS MET 1,49 KINDEREN PER VROUW NOG NOOIT ZO LAAG GEWEEST. GOED… GEMARKEERD ALS INTERESSANT DOOR CAROLIN GRAHLMANN * I've received some questions about addressing the Spotify layoffs. It's disheartening to find ourselves in this situation once more. We in the… I'VE RECEIVED SOME QUESTIONS ABOUT ADDRESSING THE SPOTIFY LAYOFFS. IT'S DISHEARTENING TO FIND OURSELVES IN THIS SITUATION ONCE MORE. WE IN THE… GEMARKEERD ALS INTERESSANT DOOR CAROLIN GRAHLMANN BEKIJK HET VOLLEDIGE PROFIEL VAN CAROLIN * Bekijk wie u allebei kent * Word voorgesteld * Neem rechtstreeks contact op met Carolin Word lid en bekijk het volledige profiel OVERIGE VERGELIJKBARE PROFIELEN * ARKOSNATO NEOGY Amsterdam Connectie maken * AURELIUS ZILKO Amsterdam Connectie maken * CHRISTINA KATSIMEROU Amsterdam Connectie maken * MICHELE FERRETTI Senior Data Engineer @ NVIDIA | Autonomous Driving Duitsland Connectie maken * MATHEUS BRAUN MAGRIN Amsterdam Connectie maken * NIMROD RAIMAN Data Scientist at Booking.com Amsterdam Connectie maken * RODION KIRYUKHIN Amsterdam Connectie maken * YURI MEJIA MIRANDA Sr. Data Scientist at Rabobank Amsterdam Connectie maken * NADIA TOMOVA Amsterdam Connectie maken * ALEX BANGERTER Data Scientist at DAS Rechtsbijstand Randstad Connectie maken MEER BIJDRAGEN ONDERZOEKEN * Akhona Njeje Data Science & Analytics that's my wives, but won't lie i have a deep crush on Data Engineering❤been flirting with it for years. I'm ready to take a 3rd wife 2025, my GrandFather had 3 wives, it makes sense now why i must create a holy triangle like Thanos. #DataAnalytics🥈 #DataScience🥇 #DataEngineering🥉 #3. 3 * Michael Tandecki On the 14h of May, AE is hosting a meet-up together with NannyML in Leuven 🇧🇪 . If you have any interest in seeing what happens with machine learning models after they're deployed to production, this is for you! You can register here https://lu.ma/pdds-leuven (or through Meetup if that's your vibe: https://lnkd.in/einnnyxx ). #datascience #ai #monitoring #mlops #meetup 4 * Alejandro Ramon Hernandez 🚀 𝗖𝗼𝗻𝘁𝗿𝗮𝘀𝘁𝗶𝘃𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗳𝗼𝗿 𝗕𝗲𝘁𝘁𝗲𝗿 𝗙𝗮𝗰𝘁-𝗖𝗵𝗲𝗰𝗸𝗶𝗻𝗴 🚀 I just read an exciting paper on improving document retrieval for real-world fact-checking. 📚 Turns out, one of the biggest challenges in fact-checking is retrieving relevant documents, especially when claims need complex inferences. The solution? A 𝗖𝗼𝗻𝘁𝗿𝗮𝘀𝘁𝗶𝘃𝗲 𝗙𝗮𝗰𝘁-𝗖𝗵𝗲𝗰𝗸𝗶𝗻𝗴 𝗥𝗲𝗿𝗮𝗻𝗸𝗲𝗿 (𝗖𝗙𝗥) that uses GPT-4, human annotations, and advanced learning techniques to fine-tune retrieval. 🔑 𝗣𝗿𝗼𝗯𝗹𝗲𝗺: Fact-checking complex claims often surfaces irrelevant documents that lack the nuanced information needed to verify claims accurately. 🧠 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻: CFR combines contrastive learning with human and machine supervision, making it possible to retrieve documents that are indirectly related but crucial for verification. 📊 𝗥𝗲𝘀𝘂𝗹𝘁𝘀: Tested on datasets like AVeriTeC and FEVER, CFR improves document retrieval and fact-checking accuracy by 6%! Plus, the model works even when applied to out-of-domain scenarios. 💡 𝗠𝘆 𝘁𝗮𝗸𝗲: This could be a game-changer for automated fact-checking systems. I’m particularly excited about how it handles the ambiguity and subtlety of real-world claims! 🎯 👉 If this got your gears turning, you might enjoy our newsletter! Swing by https://lnkd.in/dY5_X7Qb for more insights and the occasional bad joke. #AI #FactChecking #ContrastiveLearning #MachineLearning #NLP #AIResearch #GPT4 #Verification 5 * Marie-Lynne Block Happy European Statistics Day! 📊 Today’s theme is ‘Official Statistics, a window to understanding society’. Let’s be honest, who hasn’t stared at a data set for hours, hoping it reveals the secrets of the universe? (Or is this just me? 👀) As a Data Scientist working (mainly) with health data, I’ve learned that statistics aren’t just about numbers, they're about helping us live better, healthier lives. Whether in my daily work or through university projects, where I love exploring health and mental health data, I always find it fascinating how data can drive impactful change. So, let’s raise a coffee (or two ☕️☕️) to all the data sets that keep us informed, empowered, and occasionally frustrated! If you like to see some general numbers about healthcare and healthcare costs, I recommend visiting: https://lnkd.in/e3yVxRKW. What's your favourite dataset or graph? 👇 #EuroStatDay 4 * Jorg Jansen Very excited to have been present at the database lectures last Thursday at Centrum Wiskunde & Informatica, where Marcin Zukowski became a Dijkstra fellow for his outstanding accomplishments in the field of vector databases and database architecture: https://lnkd.in/eWK7C8AH Also really enjoyed the presentations on Friday at DBDBD 2024 (Dutch-Belgian DataBase Day): https://lnkd.in/erZkdQpM Thanks also to Peter Boncz for organizing this great event. Some of my takeaways from these two days: - Database theory is a very lively field of research, but it can also be overwhelming because of the huge number of DBMS products and DBMS types all claiming to be the best of breed. - SQL is still by far the most popular database language, and all DBMS products (even no-SQL databases) offer a SQL layer - only problem is that most do not stick to the ANSI standard and every product has its own extensions, making it very difficult to migrate from DBMS to another. - Vector databases or column-oriented databases, where the data is stored as a set of arrays (1 for every column) instead of a set of records, are very much alive and great for analytical queries. They were invented at CWI and first implemented in MonetDB Solutions, but also #Snowflake and #DuckDB use these concepts with great success in their storage engines. - Thanks Bart Samwel of #Databricks for a very interesting presentation on Delta Lake and an elegant method to make data pipelines incremental. Very often, loading data from source systems to a datawarehouse and/or datamart layer involves full table refreshes, this could be made much more efficient by keeping track of changes and refreshing the tables incrementally. - In fact this touches upon the big research topic of IVM (Incremental View Maintenance), which is close to my heart and which studies techniques to incrementally update a materialized view when the underlying base tables change. Although a lot of results have been published, most DBMS products still have very limited support for materialized views (Snowflake has just introduced Dynamic Tables, but they also have quite some limitations). - Finally, thanks Alexey Milovidov for an very entertaining demonstration of #Clickhouse, a GPU database with impressive performance metrics on very large datasets. I missed my opportunity to bring up a problem from the industry that deserve to be researched, but I will mention one here: Handling database schema changes in deployment pipelines. If the logical data model of a production database changes, it is often not so easy to deploy these changes to production (depending on the type of changes to the data model). I think there should be better support for DDL changes in development tools. 11 * Anwar Zahid Khan Recently, I finished reading 'Data Management at Scale, 2nd Edition' by Piethein Strengholt. It deconstructs established thoughts, adds new perspectives and guides through the journey from data-driven aspirations to a fully realized data-driven culture. A great read for those looking for a Decentralized approach for managing data at scale using Centralized alignment of organization, governance, technology, and architecture. Personally, I benefitted immensely from the Data Domain and Data Product topics with a focus on practical strategies for modern data engineering pipelines. https://lnkd.in/eFVgWt9V 24 * Ishan Goel Modern A/B tests will declare a variation as significantly better or worse, but how would you get to know when to stop a test that does not show potential to give a winner. We at VWO are introducing the concept of Region of Practical Equivalence (ROPE) in our new stats engine that provides the following benefits: 1. Disable underperforming variations early into the test, saving visitors. 2. Invest more visitors in variations that show larger improvements, ensuring higher statistical accuracy. Since winning ideas are generally rarer than losing ideas, overall you save a significant amount of visitors with ROPE. Join me for a fireside chat on the 29th July, 11 am Eastern time for a discussion on how we are evolving the stats engine at VWO: https://lnkd.in/gWrEPBkR 39 * Arpit Rajauria How well do commercial fine-tuning APIs actually work? 🤔 Not well. FINETUNEBENCH, a new benchmark to evaluate knowledge infusion in LLMs. FineTuneBench tests five frontier LLMs (GPT-4o, GPT-4o-mini, GPT-3.5-turbo, Gemini 1.5 Pro, Gemini 1.5 Flash) using commercial fine-tuning APIs from OpenAI and Google Vertex AI. It focuses on two key aspects: ➡️ Ingesting Novel Information: Think recent news events or new employee profiles. ➡️ Updating Existing Knowledge: Like medical guideline changes or software updates. Key insights 💡: ➡️ Substantial Shortcomings: All models struggle with new information, achieving an average generalization accuracy of just 37%. Updating existing knowledge proves even harder (19% average accuracy). ➡️ GPT-4o-mini Leads: It performed best at both ingesting new information and updating knowledge, followed by GPT-3.5 Turbo and GPT-4o. ➡️ Gemini Struggles: Both Gemini models underperformed, showing limited ability to learn or update knowledge. ➡️ Overfitting is Common: Models tend to overfit to the training data. Paper: https://lnkd.in/gwUEu4Tg Dataset: https://lnkd.in/ggNSedEF 8 * Anurag Sharma 🚀 DE Interview📢Data Imputation⌛1-Min-Read 🧔♂️Interviewer: Can you explain how you improved data accuracy in your project, leading to significant business impact? 👶Candidate: In our project, we were facing issues with inaccurate business results due to missing values in our raw data layer. We knew which records were missing values and had a clear understanding of what those values should be. To tackle this, I developed a data imputation framework and created a new layer as a parallel pipeline. Here’s how I approached it: Data Imputation: I designed a framework that identified missing values and filled them with the appropriate data. This involved analyzing patterns and ensuring the imputed values were accurate and relevant. Parallel Pipeline: I set up a parallel pipeline to compare the imputed data with the actual data. This allowed us to validate the effectiveness of the imputation process. Comparison and Validation: By running the imputed data through the pipeline, we could see that the imputed data was much closer to the actual results compared to the raw data. Production Implementation: Due to the significant improvement in data accuracy, the team decided to move my imputation code into production. This ensured that business results were more accurate and reliable. By implementing this data imputation framework, we achieved several impacts: Increased Accuracy: The imputed data significantly reduced discrepancies, resulting in more accurate business insights. Improved Efficiency: Automating the imputation process saved time and resources, allowing the team to focus on more critical tasks. Enhanced Reliability: The production implementation of the imputation framework ensured consistent and reliable data quality. Real-time Validation: The parallel pipeline provided real-time insights, helping us quickly identify and address any data issues. Summary: 1️⃣ Problem: Inaccurate business results due to missing values in raw data. 2️⃣ Solution: Developed a data imputation framework and parallel validation pipeline. 3️⃣ Impact: Increased accuracy, improved efficiency, and enhanced data reliability. #DataEngineering #DataImputation #DataAccuracy #Automation #Python #DataValidation #TechInnovation #BusinessIntelligence #DataQuality #Efficiency 22 1 commentaar * Rafat Siddiqui 🎧 Just wrapped up listening to an insightful podcast featuring Peter van der Putten, Assistant Professor of AI at Leiden Institute of Advanced Computer Science and Director of AI Lab Pegasystems. The podcast was on diving into the implications of the EU AI Act. Some key takeaways that caught my attention: 🔍 Focus on Application: The Act smartly zeroes in on how AI is applied rather than getting tangled up in the underlying algorithms. This pragmatic approach mirrors the rigor we see in other sectors, like the Basel norms in banking. 🔄 Self-Regulation: Europe is leaning towards a self-regulating framework. While this isn’t new in the public domain, it’s interesting to see how this will play out in high-risk AI applications. It’s a forward-thinking move, but how will AI companies tackle the challenge of "bias amplification"? ⚖️ DEI Metrics: There’s no clear-cut definition of DEI metrics yet, and this is where Europe’s leadership in ensuring privacy and fairness (think GDPR, USB-C in Apple iPhones) comes into play. The scrutiny will be intense, especially for high-risk applications. 🚀 Positive Business Environment: Overall, this feels like a solid start, paving the way for a favorable business environment in the AI field. 👉 Curious about the full discussion? Check it out here. https://lnkd.in/dyXkqp59 FvnlCHI0 Thanks to TWIML for bringing another stellar podcast. #ArtificialIntelligence #EUAIAct #AIRegulation #MachineLearning #TechInnovation #DataScience #DEI #Privacy #AICompliance #BusinessStrategy #Innovation #AIinEurope 6 3 commentaren * Arpit Rajauria Fine-tuning LLMs for domain adaptation requires more than just specialized data. 🔬 This new study dives deep into CPT, SFT, DPO, ORPO and Model Merging, revealing their unique impact on model specialization. Explored various fine-tuning techniques: • Continued Pre-Training (CPT) • Supervised Fine-Tuning (SFT) • Direct Preference Optimization (DPO) • Odds Ratio Preference Optimization (ORPO) • Model Merging using Spherical Linear Interpolation (SLERP) Key insights: 🚀 Merging Models: Combining multiple fine-tuned models using Spherical Linear Interpolation (SLERP) yields synergistic, emergent capabilities, exceeding individual model performance. 💪 Model Size Matters: The study observes a threshold effect, where the benefits of advanced fine-tuning techniques, including SLERP, are more pronounced in larger models (7B-8B parameters) compared to smaller ones (1.7B parameters). Paper: https://lnkd.in/gBPseyja #LLM #AI #FineTuning #DomainAdaptation #ModelMerging #MaterialsScience #Engineering #DeepLearning #AIResearch #SphericalLinearInterpolation #SLERP #llama #mistral #SmoLLM 2 * Arpit Rajauria Can we trust LLM benchmarks(Like. MMLU, C-Eval)? A new study unveils the risk of data leakage and offers a solution to detect it! 🕵️♀️ The widespread use of multiple-choice benchmarks for LLMs has a hidden risk: data leakage. If a model has seen benchmark data during pre-training, it can simply memorize answers, leading to inflated performance scores. Here's the gist: ➡️ By shuffling the content of multiple-choice options, create derived datasets. ➡️ Analyze the log-probability distribution of an LLM's responses to these shuffled datasets. ➡️ A maximum log-probability accompanied by an outlier strongly indicates data leakage. Key findings: ⚠️ Leakage is a serious concern: The study evaluated 31 popular open-source LLMs, including LLaMA, Qwen, and Yi, on benchmarks like MMLU, CMMLU, C-Eval, and CMB. 🏆 Qwen family of LLMs exhibited the highest degree of data leakage across multiple benchmarks. 📉 Data leakage significantly inflates performance metrics, making it difficult to accurately assess LLM capabilities. Paper: https://lnkd.in/gfTxD3Ry Code: https://lnkd.in/gAeTaSbc #LLM #AI #DataLeakage #Benchmarking #MachineLearning #DeepLearning #AIethics #ResponsibleAI #NLP #LLaMA #Qwen #Yi 2 * Eric Dabols This week, our auditors will delve into the diverse world of data products, gaining insights into how different types are used to drive value in organizations. Understanding the nuances between these products is key to mastering data product management. 1 * Ritesh Kumar Demystifying ARIMA for Time Series Forecasting! Ever wondered how we predict future trends in data, like sales, stock prices, or even temperatures? Let’s talk about ARIMA, a powerful tool in the world of data science. ARIMA stands for AutoRegressive Integrated Moving Average. Sounds complex? Let’s break it down: AutoRegressive (AR): Look at past values to predict future ones. For instance, if sales increased steadily over the last few months, they might continue to do so. Integrated (I): Focus on changes over time. Instead of just looking at raw sales numbers, see how they’ve changed each month to identify trends. Moving Average (MA): Adjust predictions based on past mistakes. If your previous forecasts were always a bit too high, tweak them accordingly. Example: Imagine you’re predicting next month’s temperature: AR: If the temperature increased by 2°F each day for the last few days, it might continue this trend. I: Look at the daily changes (+2°F, +2°F) to understand the pattern. MA: If past predictions were usually 1°F too high, adjust by subtracting 1°F. So, ARIMA helps you make more accurate predictions by learning from the past and correcting errors. #DataScience #ARIMA #Forecasting #MachineLearning #TimeSeriesAnalysis 3 2 commentaren * Hector Mayol The knowledge or semantic layer is the foundation upon which all data infrastructure should be built upon. Unfortunately, knowledge graphs or semantic layers are seen as time consuming and “progress impeding”. Quite the conundrum… 3 * Marie-Anne Melis My submission for the #mavenhospitalchallenge from Maven Analytics. Thank you Marjolein Opsteegh for saying "hup, hup, je kunt het". The basic thought was high level executive means 1 screen, as little filtering as possible. Some way to dive a little deeper, hence the 3 buttons to go a few periods back in time, it filters the page,. A filter on the filterpanel sets the year to 2022, in terms of completed months jan. 2022 was the last. Somebody, let's call him Jasmin Jusufbegovic, once said "I do not understand why people don't do the calculations in Excel and create a Powerpoint instead of all the fuzz in PowerBI". It is not a Powerpoint but I tried to create a nice summary with some insights apart from the dashboard. I believe insights should not be on dashboards. Dashboards are meant to stay for a few years, the world and insights can change a lot in these same years. #powerbi #data #analysis 91 24 commentaren * Kees Varekamp I think of ontology as the art of Naming the Things. It involves defining the Thing and coming up with the Name. - For things like pets and children, defining the Thing is easy. But coming up with the Name is hard. - In programming, defining the Thing tends to be a bit harder - but it still usually makes sense. Coming up with the Name is definitely much harder. - For things such as industries and skills, things that we deal with a lot at SEEK, defining the Thing becomes a science in itself. Coming up with the Name seems easy after that. Luckily we take it seriously, and there is an ontology team that does all the heavy lifting. Kate Mayhew explains: 11 1 commentaar * Leonardo Canepa Hey folks, Insights needed! A recent KarHub job opening for a BI Analyst on LinkedIn received a staggering 2,800 (!!!) applications in less than 48 hours. While this is a good problem to have, the question remains: how do we filter through all these candidates to create a shortlist for our team to analyze and interview? An efficient and productive process is key in making sure we're not wasting the team's time or missing out on a potential great hire. So... what strategies have you found to be successful in filtering through a high volume of applications? Thanks for your input! #humanresources #talent #hiring #startups 25 10 commentaren * Arpit Rajauria Unlocking LLM Generalization for Reasoning Tasks! 🧠 New research using Critical Planning Step Learning(CPL) improves performance on GSM8K (+10.5%) and MATH (+6.5%), leveraging Monte Carlo Tree Search (MCTS). Key findings: 🚀 Significant Performance Boost: CPL trained on GSM8K and MATH showed significant improvement not only on these math datasets (+10.5% on GSM8K, +6.5% on MATH) but also on out-of-domain benchmarks like ARC-C (+4.0%), BBH (+1.8%), and MMLU (+0.9%). 💡 Step-level Advantage Preference Optimization (Step-APO): Researchers introduced Step-APO, a novel method that incorporates advantage estimates into the Direct Preference Optimization (DPO) framework. This enables the model to learn fine-grained preferences between plan steps, further boosting its generalization capabilities. Paper: https://lnkd.in/gS-rP_QC #LLM #AI #Reasoning #DPO #llama #o1 #NLP #AIResearch #GSM8K #MATH #ARCC #BBH #MMLU #GPT #openai 3 * Ray Givler ❓ Did you ever drag an object border in a container and see that nice little black caret that shows you the border of objects in a neighboring container? 📏 That's really useful for aligning objects. 😲 It comes with some behavior that might surprise you though: it spawns a Tiled Container Type. 📝 I always call them a "Tiled Container Type" because both Horizontal and Vertical containers (as well as Tiled Container Types themselves) also have an attribute that can be set to Tiled for Floating. So that was a bit of a naming fail, and they should really be called just about anything else like parquet, mosaic, or Mondrian. (I don't even like the name "Floating" - I think it should be called "Fixed", but that's a double digression…) Anyhow, check the image. 🚧 When you release the mouse, Tableau desktop duplicates the existing container, puts one object in each, and at the same time creates a Tiled Container Type as a parent. If you had more than 2 items, it will bunch them together in 2 containers that split at that line. ⚒ If you don't want all that to happen, the only workaround I know is to get the desired width from the adjoining container/object and edit the dimensions of the object in question either via the dropdown or the Layout tab. 🎛 I'm a control guy. I still drive a manual transmission. In general, I don't like machines making assumptions about what I want. In this case, I would really like to be able to disable Tiled Container Types entirely. ✍ What do you think? Do you find the functionality useful? 🏗→🧠 Build to Learn! 💭🚶♀️🚶♂️ Follow for more. #tableau #data #analytics #VizoftheRay 34 19 commentaren Meer bijdragen weergeven Minder bijdragen weergeven VOEG NIEUWE VAARDIGHEDEN TOE MET BEHULP VAN DEZE CURSUSSEN * 1 u 42 m LEARNING H20.AI * 5 u 22 m COMPLETE GUIDE TO AI AND DATA SCIENCE FOR SQL: FROM BEGINNER TO ADVANCED * 2 u 5 m MACHINE LEARNING AND AI FOUNDATIONS: CLASSIFICATION MODELING Alle cursussen weergeven * LinkedIn © 2024 * Info * Toegankelijkheid * Gebruikersovereenkomst * Privacybeleid * Cookiebeleid * Auteursrechtenbeleid * Merkbeleid * Instellingen voor gasten * Communityrichtlijnen * * العربية (Arabisch) * বাংলা (Bangla) * Čeština (Tjechisch) * Dansk (Deens) * Deutsch (Duits) * Ελληνικά (Grieks) * English (Engels) * Español (Spaans) * فارسی (Perzisch) * Suica (Fins) * Français (Frans) * हिंदी (Hindi) * Magyar (Hongaars) * Bahasa Indonesia (Indonesisch) * Italiano (Italiaans) * עברית (Hebreeuws) * 日本語 (Japans) * 한국어 (Koreaans) * मराठी (Marathi) * Bahasa Malaysia (Maleis) * Nederlands * Norsk (Noors) * ਪੰਜਾਬੀ (Punjabi) * Polski (Pools) * Português (Portugees) * Română (Roemeens) * Русский (Russisch) * Svenska (Zweeds) * తెలుగు (Telugu) * ภาษาไทย (Thai) * Tagalog (Tagalog) * Türkçe (Turks) * Українська (Oekraïens) * Tiếng Việt (Vietnamees) * 简体中文 (Chinees - Versimpeld) * 正體中文 (Chinees - Traditioneel) Taal Akkoord en lid worden van LinkedIn Door op Doorgaan te klikken om deel te nemen of u aan te melden, gaat u akkoord met de gebruikersovereenkomst, het privacybeleid en het cookiebeleid van LinkedIn. 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