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    Natural Language Processing (NLP)

    2 125 курсов
    Wardley Mapping for Prompt Engineering - Part 2
    MLOps.community

    Wardley Mapping for Prompt Engineering - Part 2

    End-to-end Modern Machine Learning in Production - Part 2
    MLOps.community

    End-to-end Modern Machine Learning in Production - Part 2

    LIMA: Less is More for Alignment - Turning Language Models into Chatbots
    MLOps.community

    LIMA: Less is More for Alignment - Turning Language Models into Chatbots

    MLOps LLM Stack Hackathon Winner - Visualizing MLOps Community Trends
    MLOps.community

    MLOps LLM Stack Hackathon Winner - Visualizing MLOps Community Trends

    Building a Retrieval Augmented Generation System: Challenges and Best Practices
    MLOps.community

    Building a Retrieval Augmented Generation System: Challenges and Best Practices

    Evaluating LLMs for AI Risk - Techniques for Red Teaming Generative AI
    MLOps.community

    Evaluating LLMs for AI Risk - Techniques for Red Teaming Generative AI

    The State of Open Source AI: Deployment Engines, Licenses, and Hardware
    MLOps.community

    The State of Open Source AI: Deployment Engines, Licenses, and Hardware

    Fine-Tuning LLMs: Helix for Text and Image AI Models
    MLOps.community

    Fine-Tuning LLMs: Helix for Text and Image AI Models

    Graphs and Language - AI in Production Lightning Talk
    MLOps.community

    Graphs and Language - AI in Production Lightning Talk

    Lessons from Building LLM-based Social Media Products
    MLOps.community

    Lessons from Building LLM-based Social Media Products

    Explaining ChatGPT to Anyone in 10 Minutes
    MLOps.community

    Explaining ChatGPT to Anyone in 10 Minutes

    The Role of ML Engineers in the Era of GPT-4 and BARD
    MLOps.community

    The Role of ML Engineers in the Era of GPT-4 and BARD

    Solving LLM Data Problems with Vector Databases - Part 2
    MLOps.community

    Solving LLM Data Problems with Vector Databases - Part 2

    Taming AI Product Development Through Test-driven Prompt Engineering
    MLOps.community

    Taming AI Product Development Through Test-driven Prompt Engineering

    LLMs vs LMs in Production - Key Differences in Using 100M vs 100B Parameter Models
    MLOps.community

    LLMs vs LMs in Production - Key Differences in Using 100M vs 100B Parameter Models

    Creating a QA Tool Using Langchain, OpenAI, and Neo4J
    The Machine Learning Engineer

    Creating a QA Tool Using Langchain, OpenAI, and Neo4J

    Document Similarity: Langchain, Ollama Mistral 7B, and Chroma for Machine Learning and Data Science
    The Machine Learning Engineer

    Document Similarity: Langchain, Ollama Mistral 7B, and Chroma for Machine Learning and Data Science

    Review of Latest Multimodal Models: Gemini Pro 1.5 Flash vs OpenAI GPT-4o vs Claude 3 Opus
    The Machine Learning Engineer

    Review of Latest Multimodal Models: Gemini Pro 1.5 Flash vs OpenAI GPT-4o vs Claude 3 Opus

    Build an AI Social Media Content Generator with LangGraph and Llama 3.1 - Tutorial
    Venelin Valkov

    Build an AI Social Media Content Generator with LangGraph and Llama 3.1 - Tutorial

    ell: A Powerful, Robust Framework for Prompt Engineering
    Ian Wootten

    ell: A Powerful, Robust Framework for Prompt Engineering

    Five Trends in Generative AI - Insights from Tom Mitchell
    SAIConference

    Five Trends in Generative AI - Insights from Tom Mitchell