Best learning resources for AI
This paper introduces ReAct, an approach that integrates reasoning and acting in large language models (LLMs). ReAct enables LLMs to generate both reasoning traces and task-specific actions in an interleaved manner. This synergy allows reasoning to help induce, track, and update action plans, while actions interface with external sources like knowledge bases to gather more information, overcoming issues of hallucination and error propagation in prior methods.
ChatGPT helps you get answers, find inspiration and be more productive. It is free to use and easy to try. Just ask and ChatGPT can help with writing, learning, brainstorming and more.
Crowd-sourced leaderboard that tracks token usage, popularity trends and market share of large language models on the OpenRouter gateway.
Anthropic’s developer API for the Claude family of large language models, offering chat, vision, tool-use and agentic capabilities.
Veo is a state-of-the-art video generation model developed by Google DeepMind, designed to empower filmmakers and storytellers.
LightRAG is an open-source framework designed for simple and fast Retrieval-Augmented Generation (RAG), integrating knowledge graphs, vector search, and efficient LLM-based processing to enhance question-answering over large document collections.
Transform hours of debugging into seconds with a single command. Experience coding at thought-speed with Claude's AI that understands your entire codebase—no more context switching, just breakthrough results.
A Model Context Provider (MCP) server with accompanying Chrome extension that allows AI applications to control and automate your real browser using the MCP protocol.
prompts and images demo of nano banana
Codex is OpenAI’s series of AI coding tools that help developers move faster by delegating tasks to powerful cloud and local coding agents.
End-to-end open-source machine-learning platform for building, training and deploying models across desktop, mobile, web and cloud.
Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search. It powers AI applications by efficiently organizing and searching vast amounts of unstructured data, such as text, images, and multi-modal information.
