Large Language Models - The Hard Part

Tharsis T.P. Souza (Autor)

Buch | Softcover

350 Seiten

2026
O'Reilly Media (Verlag)
979-8-3416-2252-4 (ISBN)

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Large Language Models: The Hard Parts offers a clear, practical examination of the limitations developers and ML engineers face when building LLM-powered applications. With a focus on implementation pitfalls (not just capabilities) this book provides actionable strategies supported by reproducible Python code and open source tools.

Large language models (LLMs) have transformed natural language processing, but deploying them in applications introduces numerous technical challenges. Large Language Models: The Hard Partsoffers a clear, practical examination of the limitations developers and ML engineers face when building LLM-powered applications. With a focus on implementation pitfalls (not just capabilities) this book provides actionable strategies supported by reproducible Python code and open source tools.

Readers will learn how to navigate key obstacles in system integration, input management, testing, safety, and cost control. Designed for engineers and technical product leads, this guide emphasizes practical solutions to real-world problems and promotes a grounded understanding of LLM constraints and trade-offs.

Design testing strategies for nondeterministic systems
Manage input formatting and long-context retrieval
Address output inconsistency and structural unreliability
Implement safety and content moderation frameworks
Explore alignment challenges and mitigation techniques
Leverage open source models and optimize costs

Erscheint lt. Verlag	30.4.2026
Verlagsort	Sebastopol
Sprache	englisch
Maße	178 x 232 mm
Themenwelt	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
ISBN-13	979-8-3416-2252-4 / 9798341622524
Zustand	Neuware