Boosting LLM Accuracy with Entity Resolution-based RAG
Discover how Entity Resolution enhances RAG systems for LLMs, improving accuracy when handling structured enterprise data like customer records through real-time unified data processing.
Building a RAG Chatbot with LangChain, OpenAI, and Groq
Learn to build a RAG-powered chatbot from scratch using LangChain, OpenAI's GPT-3.5-turbo, and Qdrant vector database for enhanced knowledge retrieval and response generation.
The Inner Workings of Large Language Models - Visualizing Self-Attention Mechanisms
Dive into the mechanics of Large Language Models, exploring self-attention mechanisms, architectural designs, and performance optimization through clear visualizations and practical examples.
Building a Multi-AI System: Upgrading Vector Databases with BERT and GPT-4
Master building a cost-effective multi-AI system by integrating GPT-4 and BERT, transforming vector databases into interactive AI components with or without LangChain framework.
AutoGPT and BabyAGI - Understanding Autonomous AI Agents for Large Language Models
Explore autonomous AI agents AutoGPT and BabyAGI, understanding their capabilities, risks, and integration with GPT-4 and LangChain for automated resource management and task execution.
LangChain - Integrating External Documents and SQL with GPT-4
Dive into LangChain's capabilities for integrating external documents and SQL with GPT-4, learning to chain multiple data sources and leverage advanced language models effectively.
Using MPT-7B in Hugging Face and LangChain
Explore MPT-7B LLM implementation in Hugging Face and LangChain, covering setup, initialization, tokenization, and text generation. Learn to leverage open-source models for AI applications.
Build Conversational Agents with Vector DBs - LangChain
Learn to create powerful conversational agents using vector databases and LangChain, combining retrieval augmentation with chatbots for enhanced data freshness and domain-specific knowledge.
Testing Starcoder for Reasoning with PAL
Explore StarCoder's reasoning capabilities and compatibility with PAL Chain in LangChain through demonstrations, code examples, and practical tests.
LangChain + Retrieval Local LLMs for Retrieval QA - No OpenAI
Explore LangChain for retrieval QA using local language models like Flan T5-XL, FastChat-T5, StableVicuna, and WizardLM, without relying on OpenAI services.
QA Over Documents with Auto Vector Index Selection with Langchain Router Chains
Learn to automatically select vector indexes and prompts for document QA using Langchain router chains, with code demos for Streamlit and terminal applications.
Agents Masterclass from LangChain Founder - LLM Bootcamp
Explore tool-using language models with long-term memory in this comprehensive overview of AI agents, covering key concepts, challenges, and real-world examples from LangChain's co-creator.
Flow Engineering and Agentic RAG with LangGraph
Explore advanced RAG agent development using LangGraph for reliable control flow, and learn debugging techniques with LangSmith to enhance GenAI applications for your organization.
Building AI Agents - Simplifying Development with Meta Prompting and LangSmith
Master AI agent development with meta prompting, structured outputs, and LangSmith observability. Learn to create versatile, goal-oriented systems like Jar3d for efficient problem-solving and collaboration.
Langchain with Golang
Explore LangChain's implementation in Go, featuring a live demo showcasing its capabilities for building powerful language model applications.
Langchain Chains and Chaining Explained - GPT-3 LLM Tutorial with Streaming Responses, Multi Input
Learn to create Langchain chains using OpenAI GPT-3, including multi-input/output chains and streaming responses. Explore simple LLM chains, multi-LLM chains, and advanced techniques for efficient language model integration.
Langchain ChatGPT Your Documents Challenge Part 2 with GPT-3 and OpenAI Embeddings and Streamlit UI
Build a ChatGPT-like chatbot using Langchain, GPT-3, and OpenAI embeddings. Includes Streamlit UI, file uploader, and Wikipedia API integration for answering questions based on uploaded documents and relevant context.
GPT-3 Superpowers with Langchain - How to Use Langchain Tutorial: Prompt Tools Explained
Explore LangChain's powerful prompt tools for GPT-3, including templates, input variables, and few-shot examples. Learn to enhance AI interactions and create custom workflows.
Beginners Workshop to Fine-Tune OpenAI LLM Model with Enterprise Web Data in Python
Learn to fine-tune OpenAI's GPT-3.5-Turbo model with enterprise web data using Langchain and ChromaDB. Create a ChatGPT-like interface for your customer data in this hands-on Python workshop.
GPT-4 Tutorial - How to Chat With Multiple PDF Files of Tesla's 10-K Annual Reports
Learn to build a GPT-4 powered chatbot for analyzing multiple PDF files, using LangChain and Pinecone. Includes code walkthrough and demo with Tesla's annual reports.
GPT-4 & LangChain Tutorial - How to Chat With A 56-Page PDF Document
Learn to build a chatbot that interacts with a 56-page legal PDF using GPT-4, LangChain, and Pinecone. Explore the architecture, code implementation, and frontend interface creation for this powerful document analysis tool.