LLM Engineer’s Handbook Explained | Build & Deploy LLM Systems

Description

Get the book: https://amzn.to/4sgBEmZ In this video, we summarize “LLM Engineer’s Handbook,” a practical guide for building, deploying, and maintaining large language model systems in production. This book focuses on real engineering challenges, not just prompts or demos—covering architecture, evaluation, scalability, and reliability. 🔥 What you’ll learn in this summary: - The end-to-end LLM engineering lifecycle - Prompt engineering vs system design - Fine-tuning, adapters, and model selection - Retrieval-Augmented Generation (RAG) pipelines - Tool use, agents, and function calling - Evaluation, monitoring, and hallucination control - Cost optimization, latency, and scaling strategies - Security, privacy, and safety considerations - Moving from demos to production-grade LLM systems Whether you're a developer, ML engineer, or product builder, this summary provides a clear roadmap to becoming an effective LLM engineer. 👉 Subscribe for more hands-on AI book summaries and production-focused engineering insights! #llms ---- #aibook #podcast #booktoread #aibible#machinlearning #booksummary #TheChatGPTMillionaire #iseoai 📢 Explore the latest free #AItools at https://iseoai.com/