Replace 'hub' with 'ingest' in any github url to get a prompt-friendly extract of a codebase

🤗 smolagents: a barebones library for agents. Agents write python code to call tools and orchestrate other agents.

This repository contains the Hugging Face Agents Course.

Learn to build your Second Brain AI assistant with LLMs, agents, RAG, fine-tuning, LLMOps and AI systems techniques.

⚡ Competitive Programming Library

An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).

This repository will contain all the presentations, content, hands-on notebooks for a full day Generative AI workshop on Training, Fine-tuning Large Language Models for the DataHack Summit 2024 con…

Transcribe on your own!

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

In-depth tutorials on LLMs, RAGs and real-world AI agent applications.

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

Examples and guides for using the Gemini API

Flower: A Friendly Federated AI Framework

Build a RAG (Retrieval Augmented Generation) pipeline from scratch and have it all run locally.

Fully private LLM chatbot that runs entirely with a browser with no server needed. Supports Mistral and LLama 3.

21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

This repo includes ChatGPT prompt curation to use ChatGPT and other LLM tools better.

Learn ML engineering for free in 4 months!

Turns Data and AI algorithms into production-ready web applications in no time.

Large language Models (LLM)

React UI + elegant infrastructure for AI Copilots, AI chatbots, and in-app AI agents. The Agentic last-mile 🪁

Curated list of data science interview questions and answers

Code for the online course "Deployment of Machine Learning Models"

Evidently is ​​an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.

Learn how to design, develop, deploy and iterate on production-grade ML applications.