LLM 教程

Explore the latest OpenAI GPT-5 API features with code examples, including reasoning effort, verbosity control, chain-of-thought handoff, freeform input, output constraints, allowed tools, preambles, prompt optimization, and more.

Running GPT-OSS 120B locally, accessing it in a browser using the free chat applications, trying fast and free LLM inference providers, and exploring an LLM marketplace for the best and fastest model access.

Learn easy but powerful ways you can use Qwen3-Coder locally.

Learn what Perplexity’s Comet browser is and how to use it through five practical examples you can try yourself.

Learn how to run Kimi K2 on a single A100 GPU with 250GB RAM using llama.cpp.

Learn how to make the most of Grok 4 through seven practical examples you can try in the chat interface.

Master LangGraph fundamentals — state, nodes, edges, memory — and build scalable AI agents with ReAct patterns, custom tools, and persistent state management.

Building, Testing, and Integrating the ArXiv Explorer MCP Server.

Learn how to use Grok 4’s API through practical examples featuring image recognition, reasoning, function calling, and structured output.

Learn what Moonshot's Kimi K2 is, how to access it, and see it in action through six practical examples you can use.

Set up a full-stack deep AI research assistant, featuring a React frontend and a LangGraph backend.

Step-by-step guide to fine-tuning the Mistral reasoning model on a medical MCQs dataset using the Transformers framework.