AI-tutorials

Learn how to set up, integrate, and run the Gemma 3 270M model in an Android application, along with best practices for ensuring its reliability and safety for on-device inference.

Learn how to build a Deep Research Assistant using Jan-v1's agentic reasoning capabilities, including local deployment, Streamlit app development, and more.

Learn about Kiro, an AI IDE, and its features, installation, and how it compares to other AI coding tools like Cursor.

Learn how to use OpenRouter's unified API to access various AI models, implement features like streaming, reasoning tokens, or structured outputs.

Learn how to build an interactive reasoning demo using MetaStone’s XBai o4 model, covering its reflective generative reasoning.

I tested Google's new Gemini 2.5 Deep Think mode on five real-world problems, ranging from PhD-level questions to business challenges.

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 how to install, set up, and run GPT-OSS locally with Ollama and build a simple Streamlit application.

Learn what deep agents are, their core components, and how to build a job application assistant using LangChain's deepagents package.

Learn how ChatGPT's study mode works through five practical examples, and discover its strengths and areas for improvement.