Overview

Unlock the full potential of large language models with this hands-on, end-to-end guide for developers, ML engineers, and AI practitioners. The Large Language Model Playbook demystifies the world of LLMs, offering a clear, actionable roadmap from theory to production. Whether you're fine-tuning state-of-the-art transformer models, optimizing for inference at scale, or deploying chatbots, copilots, or content generators, this book gives you the tools and knowledge to move fast and build with confidence. Learn how to select the right foundation model, architect scalable pipelines, implement retrieval-augmented generation (RAG), and ensure robust evaluation, safety, and monitoring in the wild. Through real-world examples and practical code, you'll explore: Model selection, prompt engineering, and fine-tuning strategies Building scalable, low-latency LLM APIs and applications Harnessing vector databases and RAG for enterprise-grade solutions Performance tuning, cost optimization, and multi-modal integration Guardrails, testing frameworks, and responsible AI principles Whether you're launching an AI startup, embedding intelligence into products, or exploring cutting-edge research, The Large Language Model Playbook is your definitive guide to building with today's most powerful AI models.

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