| Layer | Tech | |-------|------| | Frontend | Streamlit / Gradio (quick UI for demos) | | Backend | FastAPI + LangChain (to structure model prompts) | | LLM | GPT-4 or Llama 3 (for evaluation) – can run locally | | Knowledge base | Vector DB (Chroma) storing chunks from GitHub READMEs/PDF notes | | Evaluation logic | Rule-based + LLM rubric (from the book’s checklists) |
The book provides detailed solutions for real-world scenarios, including: Visual Search System machine learning system design interview alex xu pdf github
: Outline the data sources, ingestion pipelines, and label engineering. Discuss data volume and storage needs. Feature Engineering | Layer | Tech | |-------|------| | Frontend
The Alex Xu book is excellent but light on two areas that FAANG interviewers love: The Architect’s Blueprint
The story follows a young engineer navigating the high-stakes world of technical interviews with a trusted guide in hand. The Architect’s Blueprint