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Open in app Sign up Sign in Write Sign up Sign in Heartbeat 12.2K Followers Follow Home About Data Science ML/DL MLOps Contribute Explore Comet Sid Mehta ·Pinned ORGANIZE YOUR PROMPT ENGINEERING WITH COMETLLM Introduction Prompt Engineering is arguably the most critical aspect in harnessing the power of Large Language Models (LLMs) like ChatGPT. Whether you’re building tools for content creation, question answering, translation, or coding assistance, well designed prompts act as the roadmap for LLMs to generate accurate, ethical, and contextually relevant outputs. However… Large Language Models 5 min read Large Language Models 5 min read -------------------------------------------------------------------------------- Yennhi95zz ·2 hours ago HOW TO ENHANCE CONVERSATIONAL AGENTS WITH MEMORY IN LANG CHAIN LangChain Conversation Memory Types: Pros & Cons, and Code Examples — When it comes to chatbots and conversational agents, the ability to retain and remember information is critical to creating fluid, human-like interactions. This article describes the concept of memory in Lang Chain and explores its importance, implementation, and various strategies for optimizing conversation flow. 💡I write about Machine Learning on… Chatbots 14 min read Chatbots 14 min read -------------------------------------------------------------------------------- SONIA SINGLA ·1 day ago DIFFERENT PLOTS USED IN EXPLORATORY DATA ANALYSIS (EDA) The importance of EDA in the machine learning world is well known to its users. Making visualizations is one of the finest ways for data scientists to explain data analysis to people outside the business. Exploratory data analysis can help you comprehend your data better, which can aid in future… Heartbeat 7 min read Heartbeat 7 min read -------------------------------------------------------------------------------- Khushboo Kumari ·6 days ago GEMINI: A NEW MULTIMODAL AI MODEL OF GOOGLE Introduction Google has taken a significant leap by introducing the Gemini AI, its latest large language model (LLM), to the public. This milestone will bring widespread changes across all of Google’s products. … Gemini 7 min read Gemini 7 min read -------------------------------------------------------------------------------- Shittu Olumide Ayodeji ·Jan 19 LOGGING YOLOPANDAS 🐼 WITH COMET-LLM I wrote an article on how you can explore your data with YOLOPandas and Comet, and you can find the article here. As prompt engineering is fundamentally different from training machine learning models, Comet has released a new SDK tailored for this use case comet-llm. Check out the Comet LLMOps… Llm 4 min read Llm 4 min read -------------------------------------------------------------------------------- Adhing'a Fredrick ·Jan 19 EXPLORING THE POWER OF LLAMA 2 USING STREAMLIT Introduction 2023 has been significant for large language models. Many advancements have been made since ChatGPT, including open-source and licensed models. The recent release of Llama 2 by Meta and Microsoft has taken the AI world by storm. An open-source model that is just as good as GPT 3.5 or even… Llama 2 7 min read Llama 2 7 min read -------------------------------------------------------------------------------- antony drake ·Jan 16 ACTIVE CONTOUR MODELS (SNAKES): UNRAVELING THE SECRETS OF IMAGE SEGMENTATION AND BOUNDARY DETECTION Imagine a world without computers that can perceive and understand images! The field of computer vision has brought us a step closer to this reality by developing sophisticated algorithms to extract meaningful information from visual data automatically. … Deep Learning 8 min read Deep Learning 8 min read -------------------------------------------------------------------------------- Joas Pambou ·Jan 13 GENERATING IMAGES FROM AUDIO WITH MACHINE LEARNING Quick Summary In this article, I’ll show you how to create amazing images from audio using the magic of Machine Learning and the Transformers models. I’ll explain each step clearly, uncover the secrets behind Whisper, and highlight the incredible abilities of Hugging Face models. … AI 8 min read AI 8 min read -------------------------------------------------------------------------------- Vasanthkumar Velayudham | ·Jan 13 HOW I LEVERAGED THE ALPACA DATASET TO FINE-TUNE THE LLAMA2 MODEL BASED ON CONTRASTIVE/FEW-SHOT LEARNING With the arrival of the Llama-2 model, several articles have been published to describe the nuances of fine-tuning it in a consumer-grade GPU. In many of those tutorials, the authors would have touched upon how critical the dataset's quality is for fine-tuning. … Fine Tuning Llm 4 min read Fine Tuning Llm 4 min read -------------------------------------------------------------------------------- Mwanikii ·Jan 11 HOW TO INTEGRATE COMET WITH CATBOOST WORKFLOWS Working around the lack of support with new features — Catboost is one of the most versatile gradient-boosting models. Its crucial capability is processing categorical data without converting it to numerical data. This means that the model can perform its function as you desire after specifying categorical data. … Comet 6 min read Comet 6 min read -------------------------------------------------------------------------------- Harpreet Sahota ·Jan 10 PLAN-AND-EXECUTE AGENTS IN LANGCHAIN Evolution from Action to Plan-and-Execute — Traditional “Action Agents” followed a framework where user input was received, the agent decided on a tool to use, and this process was repeated until the agent responded to the user. However, the need for a more advanced system arose as user objectives became more intricate and developers began to… Langchain 7 min read Langchain 7 min read -------------------------------------------------------------------------------- GoldTech ·Jan 10 A GUIDE TO LLMOPS: LARGE LANGUAGE MODEL OPERATIONS Large language models have emerged as ground-breaking technologies with revolutionary potential in the fast-developing fields of artificial intelligence (AI) and natural language processing (NLP). In particular, Large Language Model Operations, or LLMOps, is crucial to the successful deployment, upkeep, and optimization of these powerful models. … Llmops 8 min read Llmops 8 min read -------------------------------------------------------------------------------- Brian Mutea ·Jan 6 INTRODUCTION TO LANGCHAIN FOR INCLUDING AI FROM LARGE LANGUAGE MODELS (LLMS) INSIDE DATA APPLICATIONS AND DATA PIPELINES This article will provide an overview of LangChain, the problems it addresses, its use cases, and some of its limitations. — Large Language Models (LLMs) entered the spotlight with the release of OpenAI’s GPT-3 in 2020. We have seen exploding interest in LLMs and in a broader discipline, Generative AI. There have been great leaps in the LLMs space, from the introduction of Google’s “sentient” LaMDA chatbot, BLOOM, the first high-performance… Langchain 8 min read Langchain 8 min read -------------------------------------------------------------------------------- Theophilus Chidalu Onyejiaku ·Jan 5 BUILD AND MONITOR AN OBJECT DETECTION MODEL IN 5 STEPS USING COMET In this project guide, we will dive into object detection by creating a custom object detection model and monitoring its accuracy metrics and hyperparameters in five simple steps! It doesn't even matter if your machine sucks, let's go! Dataset We will use this dataset from Google Drive to train the model… Object Detection 8 min read Object Detection 8 min read -------------------------------------------------------------------------------- Innocent Gicheru Wambui ·Jan 4 HARNESSING MACHINE LEARNING FOR CLIMATE CHANGE MITIGATION: A ROADMAP TO SUSTAINABLE FUTURE Weather forecasting is our trusty crystal ball, keeping us safe from storms, floods, and heat waves. In a world where glaciers are receding, wildfires are intensifying, and sea levels are rising, the urgency of addressing the climate crisis has never been more palpable. Our planet sends distress signals through extreme… Machine Learning 10 min read Machine Learning 10 min read -------------------------------------------------------------------------------- Harpreet Sahota ·Dec 29, 2023 USING THE REACT FRAMEWORK IN LANGCHAIN Both ways: Using off-the-shelf agents and LCEL — ReAct Framework for Prompting ReAct, which stands for Reasoning + Acting, is a prompting technique developed by professors from Princeton University in collaboration with Google researchers. The method is designed to enhance the reasoning capabilities of LLMs, allowing them to reason and act intelligently within simulated environments. ReAct aims to enable LLMs to mimic… Langchain 14 min read Langchain 14 min read -------------------------------------------------------------------------------- Innocent Gicheru Wambui ·Dec 28, 2023 THE MAGICAL WORLD OF EDGE AI AND FEDERATED LEARNING: UNLEASHING THE POWER OF SMART DEVICES AND PROTECTING DATA PRIVACY Hello there, tech enthusiasts! Ready to be amazed by the miracles of artificial intelligence like you’ve never seen before? Welcome to Edge AI and Federated Learning, where machines transform into intelligent partners, making instantaneous choices. In an era characterized by rapid technological advancements, the boundaries between the physical and digital… Federated Learning 12 min read Federated Learning 12 min read -------------------------------------------------------------------------------- Aboze Brain John Jnr ·Dec 27, 2023 CONTAINERIZATION OF MACHINE LEARNING APPLICATIONS This article will comprehensively create, deploy, and execute machine learning application containers using the Docker tool. It will further explain the various containerization terms and the importance of this technology to the machine learning workflow. The article will contain hands-on sessions with practical coding examples as a use case. … Containerization 25 min read Containerization 25 min read -------------------------------------------------------------------------------- Harpreet Sahota ·Dec 22, 2023 CONVERSATIONAL AGENTS IN LANGCHAIN Both ways: off-the-shelf and using LCEL — Conversational Agents Conversational agents in LangChain facilitate interactive and dynamic conversations with users. Conversation agents are optimized for conversation. … Langchain 14 min read Langchain 14 min read -------------------------------------------------------------------------------- Abhay Parashar ·Dec 21, 2023 HOW TO USE COMET AT DIFFERENT STAGES OF ML PROJECTS Uncovering the Power of Comet Across the Data Science Journey — Machine learning (ML) projects are usually complicated and include several stages, from data discovery to model implementation. The ability to track, compare, and optimize experiments and models is crucial for achieving good outcomes from ML models. Comet is a robust platform that provides comprehensive functionality to streamline these stages. It… Cometml 7 min read Cometml 7 min read Comet is a machine learning platform helping data scientists, ML engineers, and deep learning engineers build better models faster Follow Connect with Heartbeat EDITORS GIDEON MENDELS Co-founder/CEO of Comet.ml — a machine learning experimentation platform helping data scientists track, compare, explain, reproduce ML experiments. Follow THALES CEOLIN Follow CALEB KAISER ML infrastructure (https://github.com/cortexlabs/cortex) Formerly at AngelList. Originally a Cadillac. Follow See all SIGN UP FOR THE HEARTBEAT NEWSLETTER BY HEARTBEAT Exploring the latest in MLOps, Deep Learning, and Data Science Take a look. By signing up, you will create a Medium account if you don’t already have one. Review our Privacy Policy for more information about our privacy practices. Get this newsletter Help Status About Careers Blog Privacy Terms Text to speech Teams To make Medium work, we log user data. By using Medium, you agree to our Privacy Policy, including cookie policy.