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Price Distribution

Price distribution over 57 days • 1 price levels

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Price Analysis

Most common price: £118 (57 days, 100.0%)

Price range: £118 - £118

Price levels: 1 different prices over 57 days

Description

LLMOps: Foundations, Deployment, and Responsible Operations of Large Language Models Unlock the full potential of large language models with LLMOps, the definitive guide for college students and professionals eager to navigate the end‑to‑end lifecycle of modern AI systems. Combining rigorous fundamentals with hands‑on best practices, this book takes you from core concepts to production‑scale deployments—while embedding responsible, ethical operations every step of the way. Inside You’ll Discover: Solid Foundations: Trace the evolution of neural networks and explore the transformer architectures that power today’s LLM breakthroughs—no prior AI background required. Practical LLMOps: Master data curation, pretraining, fine‑tuning, prompt engineering, and deployment pipelines. Learn to containerize with Docker, orchestrate at scale with Kubernetes, and index embeddings in vector databases. Real‑World Case Studies: See LLMs in action across healthcare, finance, education, and beyond, from conversational agents to automated report generation and personalized tutoring. Responsible AI Playbook: Mitigate bias, safeguard privacy, and enforce governance with ready‑to‑use checklists, compliance frameworks, and content‑moderation strategies. Future‑Ready Insights: Stay ahead of the curve with deep dives into federated learning, multimodal integration, sustainable scaling, and emerging hardware trends. Who Should Read This? Undergraduates & Graduates in computer science, data science, or engineering seeking a clear, structured introduction to LLMs. Data Scientists & ML Engineers building production‑grade AI services who need to optimize performance and maintain robust operational controls. DevOps & Platform Teams responsible for deploying, monitoring, and scaling LLM workflows. Instructors & Curriculum Designers looking for a turnkey resource—complete with a glossary, appendices on toolchains, datasets, and sample CI/CD templates—to enrich AI and ML courses. With its engaging narrative, actionable examples, and practical checklists, LLMOps bridges the gap between theory and practice. Whether you’re architecting your first LLM pipeline or scaling enterprise solutions across multiple environments, this book equips you to build—and operate—large language models safely, efficiently, and responsibly.

Product Specifications

Format: hardcover
ASIN: B0FM3JQ66M
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Release Date: 04 August 2025
Listed Since: 12 August 2025

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LLMOps: Foundations, Deployment, and Responsible Operations of Large Language Models

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