The LLM Manual: A Business Leader's Guide to Choosing, Using, and Deploying Large Language - Tapa blanda

The LLM Manual (Paperback)

Paperback. Condición: new. Paperback. The one book that explains every major LLM - what each does best, what each costs, and how to deploy them in your business. The AI landscape is bewildering. A dozen models compete for attention, the marketing claims are contradictory, and the practical question - "which model should I use for what?" - remains surprisingly hard to answer. The LLM Manual is that answer. Strategy consultant P.Z. Murphy delivers a practical, comparative, opinionated guide covering Claude, GPT-4, Gemini, Llama, Mistral, and the broader ecosystem. Each model is assessed with candid analysis of strengths, weaknesses, and ideal use cases. Side-by-side comparison tables cut through the noise. Original frameworks you'll use immediately: - SCORE - the 5-factor model selection framework (Sophistication, Context, Output, Responsiveness, Economics)- CRAFT - the prompting framework that turns vague instructions into professional-quality output- Cost Optimization Hierarchy - 5 levers to reduce LLM costs by 60-80%- AI Data Classification - 4-tier security framework for enterprise governance- AI Maturity Model - map your organization's journey from experimentation to transformation Complete business application coverage: Sales, marketing, customer success, finance, legal, operations, product, engineering, and data - with specific use cases, prompting strategies, and implementation guidance for each function. Plus: API and platform comparison, RAG architecture explained, ROI modeling, regulatory compliance, change management, and quick-reference model cards in the appendix. Whether you're a CEO setting AI strategy, a functional leader choosing tools, or an implementer building applications - this manual gives you everything you need in one place. Start small. Start now. Build from there. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Nº de ref. del artículo: 9798254458357

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