Hand-picked links to the best AI repositories, papers, newsletters, and communities.
Curated list of large language model resources covering papers, tools, and frameworks.
Framework for building applications powered by language models with composable chains.
Get up and running with large language models locally. One command to download and run.
State-of-the-art machine learning for PyTorch, TensorFlow, and JAX.
Comprehensive guide to prompt engineering techniques and best practices.
Weekly newsletter on AI developments from deeplearning.ai.
Free resource for ML papers with code implementations and benchmarks.
Reddit community focused on running open-source LLMs locally.
Data framework for connecting LLMs to external data sources for RAG applications.
Official collection of code examples and guides for building with Claude.
Examples and guides for using the OpenAI API effectively.
Deep technical newsletter on AI engineering from Latent Space.
The foundational transformer paper that started the modern AI revolution.
Framework for orchestrating role-playing AI agents working together.
Build AI-powered streaming applications with React, Next.js, and more.
Community for ML engineers covering deployment, monitoring, and ops.
Free courses making deep learning accessible to everyone.
Collection of curated ChatGPT prompts for various use cases.
Detailed technical writing on LLMs, tools, and practical AI from a leading voice.
Framework for programming with foundation models using declarative modules.
Browse all AI tools in detail
Structured learning paths
In-depth tutorials and guides
