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Official Repo for "TheoremExplainAgent: Towards Multimodal Explanations for LLM Theorem Understanding"
Learn Low Level Design (LLD) and prepare for interviews using free resources.
Learn AI/ML for beginners with a roadmap and free resources.
This repository contains the Hugging Face Agents Course.
Kickstart your LLMOps initiative with a flexible, robust, and productive Python package.
Machine Learning Journal for Intermediate to Advanced Topics.
Collection of awesome LLM apps with AI Agents and RAG using OpenAI, Anthropic, Gemini and opensource models.
[WIP] Resources for AI engineers. Also contains supporting materials for the book AI Engineering (Chip Huyen, 2025)
A curated list of Large Language Model resources, covering model training, serving, fine-tuning, and building LLM applications.
The LLM's practical guide: From the fundamentals to deploying advanced LLM and RAG apps to AWS using LLMOps best practices
This repository offers a comprehensive collection of tutorials and implementations for Prompt Engineering techniques, ranging from fundamental concepts to advanced strategies. It serves as an essenโฆ
Sharing both practical insights and theoretical knowledge about LLM evaluation that we gathered while managing the Open LLM Leaderboard and designing lighteval!
This repository provides tutorials and implementations for various Generative AI Agent techniques, from basic to advanced. It serves as a comprehensive guide for building intelligent, interactive Aโฆ
Lightning-fast serving engine for any AI model of any size. Flexible. Easy. Enterprise-scale.
Deep learning for dummies. All the practical details and useful utilities that go into working with real models.
Anthropic's educational courses
Toolkit for attaching, training, saving and loading of new heads for transformer models
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and contโฆ
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery ๐งโ๐ฌ
A Tutorial for Setting Python Development Environment with VScode and Docker
This repo consists of prompting style of different widely used LLMs in the LLM space.
AdalFlow: The library to build & auto-optimize LLM applications.
๐ค ๐๐ฒ๐ฎ๐ฟ๐ป for ๐ณ๐ฟ๐ฒ๐ฒ how to ๐ฏ๐๐ถ๐น๐ฑ an end-to-end ๐ฝ๐ฟ๐ผ๐ฑ๐๐ฐ๐๐ถ๐ผ๐ป-๐ฟ๐ฒ๐ฎ๐ฑ๐ ๐๐๐ & ๐ฅ๐๐ ๐๐๐๐๐ฒ๐บ using ๐๐๐ ๐ข๐ฝ๐ best practices: ~ ๐ด๐ฐ๐ถ๐ณ๐ค๐ฆ ๐ค๐ฐ๐ฅ๐ฆ + 12 ๐ฉ๐ข๐ฏ๐ฅ๐ด-๐ฐ๐ฏ ๐ญ๐ฆ๐ด๐ด๐ฐ๐ฏ๐ด
๐ OpenHands: Code Less, Make More