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Submitted URL: https://mlframereply.ai/
Effective URL: https://www.reply.com/en/artificial-intelligence/mlframe-reply
Submission: On June 25 via api from US — Scanned from DE
Effective URL: https://www.reply.com/en/artificial-intelligence/mlframe-reply
Submission: On June 25 via api from US — Scanned from DE
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Text Content
EN * DE * EN * FR * IT * PT Reply Logo * Services Services * * Artificial Intelligence * AI-powered Software Engineering New * Cloud Computing * CX & Digital Commerce * Cybersecurity * Data World * Design * Digital Assets * Digital Experience * Gaming * Governance, Risk and Compliance * Hybrid Work * Internet of Things * Metaverse * Quality Engineering * Quantum Computing * Robotics & Autonomous Things * Social Media * Strategy and Business Model Transformation * Supply Chain Management * Telco Networks * 3D & Mixed Reality * Connected Products: behind the scenes Read more Rethink software development Read more Connected Products: behind the scenes Read more Rethink software development Read more 1. 2. * Industries Industries * * Automotive & Manufacturing * Energy & Utilities * Financial Services * Logistics * Retail & Consumer Products * Telco & Media * Audi Cloud Service brings security and flexibility into harmony Read more Generative AI-centred architectures for financial institutions Read more Audi Cloud Service brings security and flexibility into harmony Read more Generative AI-centred architectures for financial institutions Read more 1. 2. * Insights & Labs Insights & Labs * * Labs * Area360 * Area42 * Area Phi New * Cyber Security Lab * Immersive Experience Lab * IoT Validation Lab * Test Automation Center * * Challenges * Insights * Xchange * Webinars * Area Phi Discover More 1. * ROSE * We care We care * * Making a difference * * People * Continuous Learning Culture * Wellbeing * Inclusion & Diversity * * Environment * Energy & Emissions * Reply to the Earth * Sustainable Supply Chain * Sustainability at Reply Discover More 1. * We are We are * * Company profile * Offices * Contacts * Newsroom * * Investors * Financial News * Reply Share Information * Financial Highlights * Financial Calendar & Events * Financial Reports * Shareholders' Meeting * Loyalty Shares * Sustainability & Governance * About Reply Read More The Board of Directors approves the quarterly report dated 31 March 2024 Discover more About Reply Read More The Board of Directors approves the quarterly report dated 31 March 2024 Discover more 1. 2. * Join us * English Languages * Deutsch * English * Français * Italiano * Português * What are you looking for? * Product & Accelerator MLFRAME REPLY Our AI-powered framework empowers the rapid creation of conversational generative models, driving knowledge development and sharing. Contact us Contact us Something’s not right Something’s not right Something’s not right Something’s not right Something’s not right Something’s not right PRIVACY I declare that I have read and fully understood the Privacy Notice and I hereby express my consent to the processing of my personal data by Reply SpA for marketing purposes, in particular to receive promotional and commercial communications or information regarding company events or webinars, using automated contact means (e.g. SMS, MMS, fax, email and web applications) or traditional methods (e.g. phone calls and paper mail). I consent I do not consent Something went wrong with the form submit. Try again. Confirm Thank you for your interest In order to complete your request, please click the confirmation link in the email that we have sent to you. OUR FRAMEWORK MLFRAME Reply is a framework that leverages Generative AI to create generative models applicable to specific knowledge domains. This aims to enhance the customer experience. AI-INFUSED INNOVATION IN KNOWLEDGE MANAGEMENT The framework was developed by Machine Learning Reply, the Reply company that specialises in AI services and solutions. MLFRAME Reply represents a transformative shift in knowledge management. MLFRAME Reply applies a proprietary methodology to analyse databases, train algorithms, and validate results on top AI technologies. This enables the rapid creation of conversational generative models applicable to specific corporate knowledge domains. This framework acts as an engine that extracts knowledge through natural language, reaggregates it, and redistributes it in conversational form. It empowers the 'artificial intelligence' component underlying the new generation of 'human-like' interaction systems, such as digital assistants and digital humans. A NEW APPROACH TO KNOWLEDGE MODELLING MLFRAME Reply introduces an innovative method for analysing and modelling the knowledge bases used in conversational models based on generative AI, enabling the development of advanced models capable of sustaining complex conversations and recognising relationships between similar concepts without specific training. Applying MLFRAME Reply to knowledge base modelling helps corporate users quickly represent a knowledge domain, improving the organisation and analysis of large volumes of diverse data. Graph models highlight key nodes and relationships, enhancing analysis and automating the mapping of key topics, thereby reducing the need for manual data cleaning and review during model training. CUSTOM GENERATIVE MODELS MLFRAME Reply empowers businesses to personalise and optimise Large Language Models (LLMs) using their proprietary data, unlocking a new dimension of Generative AI capabilities. Its impact extends beyond internal operations, enabling seamless knowledge sharing within and beyond organisational borders. INTEGRATION WITH CONVERSATIONAL INTERFACES MLFRAME Reply enables the integration of sophisticated conversational systems, including digital assistants, digital humans, and more. These systems can be utilised both within and outside the organization, amplifying engagement and interaction. ENHANCED CUSTOMER COMMUNICATION Leveraging personalised generative models, it is possible to enrich customer communication and business services. This ensures the delivery of clear and context-rich responses to customer inquiries, fostering better understanding and satisfaction. END-TO-END SUPPORT FOR MODEL DEVELOPMENT MLFRAME Reply provides comprehensive support throughout model development. From establishing a strong knowledge base in a specific domain to crafting generative models based on information retrieval and LLM techniques, all the way to fine-tuning with techniques tailored to individual use case complexities. Learn more about MLFRAME Reply with our experts to improve corporate knowledge sharing through conversational generative models. THE ONE CLICK BETWEEN A CHALLENGE AND ITS SOLUTION Gain expertise with Reply’s worldwide network of experts and find practical solutions to your challenges. Go to ROSE Show me how DEVELOP CONVERSATIONAL GENERATIVE MODELS FOR SPECIFIC KNOWLEDGE DOMAINS en/it • 1 session x 1.5h WANT TO KNOW MORE ABOUT THIS TOPIC? Ask Rose Machine Learning Reply Machine Learning Reply is the Reply Group company specialised in providing artificial intelligence services and solutions, guiding its customers towards a process of digitisation and helping them become more competitive and data-driven thanks to the adoption of Smart Analytics, Machine Learning and Artificial Intelligence technologies. With extensive experience in deep learning, artificial vision, natural language processing and predictive modelling, the company helps its customers to enhance their business, putting highly experienced development teams at their disposal. YOU MAY ALSO LIKE DIALOGUE WITH LUIGI EINAUDI THANKS TO ARTIFICIAL INTELLIGENCE Case Study SAY “HELLO!” TO DIGITAL HUMANS Best Practice AI FOR CREATIVITY White Paper AI-POWERED DIGITAL HUMANS White Paper THE INTELLIGENCE BEHIND AI Best Practice HOW TO OPTIMIZE A CONTACT CENTER THANKS TO GENERATIVE AI Case Study DIALOGUE WITH LUIGI EINAUDI THANKS TO ARTIFICIAL INTELLIGENCE Case Study SAY “HELLO!” TO DIGITAL HUMANS Best Practice AI FOR CREATIVITY White Paper AI-POWERED DIGITAL HUMANS White Paper THE INTELLIGENCE BEHIND AI Best Practice HOW TO OPTIMIZE A CONTACT CENTER THANKS TO GENERATIVE AI Case Study 1. 2. 3. 4. 5. 6. 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