AI 教程

A practical guide to implementing LoRA via Tinker AI to train Qwen3-8B on Chain-of-Thought (CoT) financial data, optimizing for generalization.

Learn how to use DeepSeek V3.2 Speciale and Streamlit to turn any CSV into an interactive analytics assistant.

Learn how to use LangSmith Agent Builder to create an agent that reads Gmail, drafts replies, and logs actions, all without writing code.

Learn how Google’s new no-code AI platform enables anyone to build applications using natural language and visual workflows.

Learn to use a 4-bit quantized FLUX.2-dev pipeline and multi-image references to generate mix-and-match outfit grids from your own wardrobe photos.

Copilot in PowerPoint helps you create polished, professional slides in less time by turning your ideas into ready-to-present content. With a few words, you can design, summarize, and refine your presentations.

Learn how to use Requesty’s unified LLM gateway, failovers, caching, and analytics to build reliable, cost-efficient AI applications across multiple providers.

Learn how to use SAM3 to build a text-prompted privacy filter that masks faces, license plates, screens, phones, and documents in images and videos.

Learn how to build a RAG app with Google File Search and Gemini API. Step-by-step guide with code, chunking, metadata filtering, and citations

Learn how Google’s Nano Banana Pro, also known as Gemini 3 Pro Image, advances AI image generation with studio-level controls, consistent character rendering, and real-world grounding.

Build a multi‑agent workflow powered by Gemini 3 API to take a dataset, analyze it, generate insights, and produce a complete PDF report automatically.

Discover how Google Antigravity turns prompts into full apps. Build a finance dashboard with Gemini 3 and AI-driven browser testing.