The Practical Guide to Large Language Models

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Sprache: Englisch

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Beschreibung

Part I: LLM Basics.- Chapter 1. Discovering Transformers.- Chapter 2. LLM Basics: Internals, Deployment and Evaluation.- Chapter 3. Improving Chat Model Responses.- Part II: Empowering LLMs Applications with RAG and Intelligent Agents.- Chapter 4. Enriching the Model’s Knowledge with Retrieval Augmented Generation.- Chapter 5. Building Agent Systems.- Part III: LLM Advances.- Chapter 6. Mastering Model Training.- Chapter 7. Unpacking the Transformers Architecture.

Über den Autor

Ivan Gridin is an artificial intelligence expert, researcher, and author with extensive experience in applying advanced machine-learning techniques in real-world scenarios. His expertise includes natural language processing (NLP), predictive time series modeling, automated machine learning (AutoML), reinforcement learning, and neural architecture search. He also has a strong foundation in mathematics, including stochastic processes, probability theory, optimization, and deep learning. In recent years, he has become a specialist in open-source large language models, including the Hugging Face framework. Building on this expertise, he continues to advance his work in developing intelligent, real-world applications powered by natural language processing.

He is a loving husband and father and collector of old math books.

You can learn more about him on LinkedIn: [...]

Erscheinungsjahr:	2025
Genre:	Importe , Informatik
Rubrik:	Naturwissenschaften & Technik
Medium:	Taschenbuch
Inhalt:	xvi 360 S. 5 s/w Illustr. 118 farbige Illustr. 360 p. 123 illus. 118 illus. in color.
ISBN-13:	9798868822155
Sprache:	Englisch
Herstellernummer:	89547310
Einband:	Kartoniert / Broschiert
Autor:	Gridin, Ivan
Auflage:	First Edition
Hersteller:	Apress Apress L.P.
Verantwortliche Person für die EU:	APress in Springer Science + Business Media, Heidelberger Platz 3, D-14197 Berlin, juergen.hartmann@springer.com
Maße:	254 x 178 x 21 mm
Von/Mit:	Ivan Gridin
Erscheinungsdatum:	13.12.2025
Gewicht:	0,706 kg