LLM チュートリアル

Learn what LiteLLM is and how to use it for unified API calls to various LLM providers, covering basic API usage, error handling, fallbacks, streaming, structured outputs, and cost tracking.

Learn how to build a Streamlit app for side-by-side comparison of Qwen3-Next-80B-A3B and other Qwen models, focusing on real-world performance metrics.

Learn how to install and use Roo Code, an open-source AI coding assistant, and compare its features and functionalities with Cline.

Learn how to build an AI image editor using Tabnine and Google's Nano Banana model.

Learn to set up and use LangExtract for extracting structured data and relationships from unstructured text, comparing its approach to traditional NLP libraries.

Learn what GitHub Models are and how they enhance productivity by integrating AI capabilities into development workflows.

Learn how to turn any PDF into an interactive research assistant using DeepSeek V3.1 and a Streamlit app.

Learn how to use Google’s Gemini 2.5 Flash Image for professional AI image generation. This step-by-step guide covers setup, prompt engineering, editing workflows, and advanced features.

A step-by-step guide on fine-tuning the OpenAI GPT-OSS 20B model on the medical question and answer dataset for both accuracy and style adoption.

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.