LLM Tutorials

Learn how Claude Skills lets users and developers customize these portable, composable, and code-executable modules to enhance productivity across Claude apps and API integrations.

Test Qwen3-Max-Thinking, the world’s largest LLM, in reasoning mode. See how it stacks up against GPT-5 and Claude Sonnet 4.5 in logic, math, and code.

Hands-on tutorial to run Kimi K2 Thinking, build tool-calling workflows, view transparent reasoning, and benchmark against GPT-5 and Claude 4.5.

Explore DeepSeek-OCR, a vision-language model for document understanding. See 7 real-world OCR tests on charts, math, memes, and handwritten notes.

Learn how to install and use Claude for Chrome, Anthropic’s AI-powered browser assistant. Discover how it automates form filling, email cleanup, and web tasks, plus key safety tips and current limitations.

Discover how to build and deploy a FastAPI-powered RAG system with LangChain. Learn about async processing, efficient API calls, and document retrieval techniques.

Learn how to bring your video ideas to life using the Sora 2 API with this complete guide on how to use Python to interact with the OpenAI API.

Learn how to create and publish a gym workout app using Bolt.new with adaptive workout plans.

Learn how to use Gemini 2.5 Computer Use to build an AI-powered job search agent. This hands-on tutorial walks you through browser automation with Playwright and Streamlit, no APIs required.

Learn how to use OpenAI AgentKit to automate GitHub issue reviews with AI agents that classify, detect duplicates, and summarize reports.

A practical guide to GPT-5 function calling: from JSON-schema functions to free-form tools, Lark/CFG constraints, preambles, and tool allowlists.

Learn about DeepSeek-V3.2-Exp, its new sparse attention mechanism, how it reduces API costs and improves long-context handling, and how to use it in your own projects.