PRACTICAL LARGE LANGUAGE MODELS: An End-to-end Approach to LLMs - Couverture souple

Publishing, Heidelmann; Brenner, DR. Sophia

Couverture souple

ISBN 13 : 9798289864369

Editeur : Independently published, 2025

Synopsis

The emergence of large language models represents a paradigm shift in how we approach natural language processing, yet the path from experimental prototypes to production-ready systems remains fraught with engineering challenges that demand systematic approaches and deep technical understanding.

Dr. Sofia Brenner, drawing from extensive experience in both academia and industry-scale AI implementations, presents a comprehensive engineering methodology for building robust LLM-powered systems. This authoritative guide moves beyond surface-level API integrations to establish the engineering principles necessary for sustainable, scalable, and reliable language model deployments.

Structured around a complete system lifecycle approach, this book addresses the full spectrum of challenges facing engineering teams: from model selection and fine-tuning through deployment architecture and monitoring strategies. Dr. Brenner's systematic methodology provides both the theoretical foundation and practical implementation guidance necessary for engineering teams to build production-grade LLM applications with confidence.

Designed for senior engineers, AI researchers, and technical leaders responsible for delivering reliable AI systems, this comprehensive guide establishes LLM engineering as a disciplined practice rooted in software engineering principles while acknowledging the unique challenges posed by probabilistic, large-scale neural architectures.

You'll develop expertise in:

• Systematic frameworks for evaluating and selecting language models based on specific application requirements and constraints
• Engineering methodologies for fine-tuning and adapting pre-trained models while maintaining system reliability and performance
• Architectural patterns for integrating LLMs into production systems, including prompt engineering, context management, and response processing
• Comprehensive approaches to LLM evaluation, including both automated metrics and human evaluation strategies for different use cases
• Production deployment strategies that address scalability, latency, cost optimization, and model serving infrastructure requirements
• Risk management and safety engineering practices for LLM systems, including prompt injection defense, output filtering, and bias mitigation
• Advanced techniques for model optimization, including quantization, pruning, and efficient inference strategies for resource-constrained environments
• Systematic monitoring and observability frameworks for maintaining LLM system performance and reliability in production environments

Master the engineering discipline that transforms experimental LLM prototypes into production-ready systems with Dr. Sofia Brenner's comprehensive methodology for building reliable, scalable language model applications that deliver consistent results in real-world deployments.

Détails de l'édition

• Éditeur: Independently published
• Date d'édition: 2025
• Langue: anglais
• ISBN 13: 9798289864369
• Reliure: Broché
• Nombre de pages: 441
• Coordonnées du fabricant: Manufactured by Amazon on behalf of the author; https://www.amazon.fr/hz/contact-us; ; c/o Amazon Media EU S.à.r.l., 38 Avenue John F. Kennedy; Luxembourg; L-1855; Luxembourg