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nanochat is a full-stack, minimal codebase for training, fine-tuning, evaluating, and deploying a ChatGPT-like large language model (LLM) from scratch on a single 8xH100 GPU node for under $100.

The OpenAI Agents SDK is a lightweight yet powerful framework for building multi-agent workflows. It is provider-agnostic, supporting the OpenAI Responses and Chat Completions APIs, as well as 100+ other LLMs via integrations like LiteLLM.

The Claude Agent SDK for Python is an official library from Anthropic that enables developers to build, query, and interact with AI agents powered by Claude models, supporting tools, custom MCP servers, and hooks for advanced agentic workflows.

Learn how to use Cursor, an AI-powered code editor designed to make software development faster and more efficient.

An open-source, production-ready system for serving machine-learning models at scale.

Open-source deep-learning framework for building, training and deploying neural networks on GPUs and CPUs.

Anthropic’s developer API for the Claude family of large language models, offering chat, vision, tool-use and agentic capabilities.

End-to-end open-source machine-learning platform for building, training and deploying models across desktop, mobile, web and cloud.

Open-source Python library from Hugging Face that supplies thousands of pretrained transformer models and utilities for text, vision, audio and multimodal tasks.

A cloud-based API that lets developers integrate OpenAI’s cutting-edge language, image, and audio models into their own products via simple RESTful endpoints.

vLLM is a high-throughput, memory-efficient inference and serving engine for large language models (LLMs), built to deliver state-of-the-art performance on GPUs with features such as PagedAttention and continuous batching.

A free, open-source Python library that offers a unified API for classical machine-learning algorithms, data-pre-processing, model selection and evaluation.