Coding & Development

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Comprehensive guide to implementing RAG systems including vector database selection, chunking strategies, embedding models, and retrieval optimization. Use when building RAG systems, implementing semantic search, optimizing retrieval quality, or debugging RAG performance issues.

LLM evaluation and testing patterns including prompt testing, hallucination detection, benchmark creation, and quality metrics. Use when testing LLM applications, validating prompt quality, implementing systematic evaluation, or measuring LLM performance.

Hugging Face Transformers best practices including model loading, tokenization, fine-tuning workflows, and inference optimization. Use when working with transformer models, fine-tuning LLMs, implementing NLP tasks, or optimizing transformer inference.

Data-driven UI/UX design intelligence with 50+ styles, 21 palettes, 50 font pairings, and 9 framework stacks (React, Next.js, Vue, Svelte, SwiftUI, React Native, Flutter, Tailwind, shadcn/ui). Searchable design knowledge base for professional UI/UX implementation. | 数据驱动的专业 UI/UX 设计智能，包含 50+ 设计风格、21 种配色方案、50 种字体配对，支持 9 种前端框架。可搜索的设计知识库，用于专业 UI/UX 实现。