Stars
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
GenAI & LLM usecases and applications
An AI-powered research assistant that performs iterative, deep research on any topic by combining search engines, web scraping, and large language models. The goal of this repo is to provide the si…
Everything you need to know to build your own RAG application
Composable building blocks to build Llama Apps
A curated list of awesome open-source libraries for production LLM
Repository for the "Building LLMs for Production" book by Towards AI.
A Python package that makes it easy for developers to create AI apps powere F4A9 d by various AI providers.
Build large language model (LLM) apps with Python, ChatGPT and other models. This is the companion repository for the book on generative AI with LangChain.
🦜🔗 Build context-aware reasoning applications
Practical LangChain tutorials for LLM applications development
This repository contains various advanced techniques for Retrieval-Augmented Generation (RAG) systems.
Explore Functions, Tools and Agents with LangChain along with LangChain Expression Language
The course provides a comprehensive guide to optimizing retrieval systems in large-scale RAG applications. It covers tokenization, vector quantization, and search optimization techniques to enhance…
Master the techniques of function-calling and structured data extraction with LLMs. Learn to enhance LLM capabilities, integrate web services, and build practical applications for real-world data u…
Master the art of building and enhancing AI agents. Learn to develop flow-based applications, implement agentic search, and incorporate human-in-the-loop systems using LangGraph's powerful components.
Learn to build and customize multi-agent systems using the AutoGen. The course teaches you to implement complex AI applications through agent collaboration and advanced design patterns.
Master the art of designing and organizing AI agents. Learn to automate complex, multi-step business processes by creating specialized AI agent teams using the open-source library crewAI.
Explore LangChain and build powerful chatbots that interact with your own data. Gain insights into document loading, splitting, retrieval, question answering, and more.
Crash course on LangChain for LLM Application Developement by DeepLearningAI
Course Work on Langchain Python Framework for Large Language Models, modified to use a provided dataset.
React UI + elegant infrastructure for AI Copilots, AI chatbots, and in-app AI agents. The Agentic last-mile 🪁
Apply LLMs to your data, build personal assistants, and expand your use of LLMs with agents, chains, and memories.
Code samples for my book "Neural Networks and Deep Learning"
A curated list of Large Language Model resources, covering model training, serving, fine-tuning, and building LLM applications.
This is the offical repository of paper "LAMBDA: A large Model Based Data Agent". https://www.polyu.edu.hk/ama/cmfai/lambda.html
Enterprise Scale NLP with Hugging Face & SageMaker Workshop series