Mastering Large Language Models with Python
Idioma: inglés
Editorial: Orange Education Pvt Ltd, 2024
Serie: Libro 1 de 3 - Generative AI Engineer — Python LLM Path
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Librería: preigu, Osnabrück, Alemaniapreigu
Vendedor de AbeBooks desde 5 de agosto de 2024
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Mastering Large Language Models with Python | Raj Arun R | Taschenbuch | Englisch | 2024 | Orange Education Pvt Ltd | EAN 9788197081828 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
N° de ref. del artículo 129096269
- Título
- Mastering Large Language Models with Python
- Autor
- Raj Arun R
- Editorial
- Orange Education Pvt Ltd
- Año de publicación
- 2024
- Estado
- Neu
- Encuadernación
- Taschenbuch
- Idioma
- inglés
- ISBN 10
- 8197081824
- ISBN 13
- 9788197081828
- Peso del artículo
- 1021 gramos
- Dimensiones
- 235 x 191 x 30 mm
- Serie
- Libro 1 de 3: Generative AI Engineer — Python LLM Path
- Catálogos de vendedores
- Bücher
Book Description
“Mastering Large Language Models with Python” is an indispensable resource that offers a comprehensive exploration of Large Language Models (LLMs), providing the essential knowledge to leverage these transformative AI models effectively. From unraveling the intricacies of LLM architecture to practical applications like code generation and AI-driven recommendation systems, readers will gain valuable insights into implementing LLMs in diverse projects.
Covering both open-source and proprietary LLMs, the book delves into foundational concepts and advanced techniques, empowering professionals to harness the full potential of these models. Detailed discussions on quantization techniques for efficient deployment, operational strategies with LLMOps, and ethical considerations ensure a well-rounded understanding of LLM implementation.
Through real-world case studies, code snippets, and practical examples, readers will navigate the complexities of LLMs with confidence, paving the way for innovative solutions and organizational growth. Whether you seek to deepen your understanding, drive impactful applications, or lead AI-driven initiatives, this book equips you with the tools and insights needed to excel in the dynamic landscape of artificial intelligence.
Table of Contents
1. The Basics of Large Language Models and Their Applications
2. Demystifying Open-Source Large Language Models
3. Closed-Source Large Language Models
4. LLM APIs for Various Large Language Model Tasks
5. Integrating Cohere API in Google Sheets
6. Dynamic Movie Recommendation Engine Using LLMs
7. Document-and Web-based QA Bots with Large Language Models
8. LLM Quantization Techniques and Implementation
9. Fine-tuning and Evaluation of LLMs
10. Recipes for Fine-Tuning and Evaluating LLMs
11. LLMOps - Operationalizing LLMs at Scale
12. Implementing LLMOps in Practice Using MLflow on Databricks
13. Mastering the Art of Prompt Engineering
14. Prompt Engineering Essentials and Design Patterns
15. Ethical Considerations and Regulatory Frameworks for LLMs
16. Towards Trustworthy Generative AI (A Novel Framework Inspired by Symbolic Reasoning)
Index
“Sinopsis” puede pertenecer a otra edición de este título.
preigu
Osnabrück, Alemania
Vendedor de AbeBooks desde 5 de agosto de 2024
Tarifas de envío de Alemania a Estados Unidos de America
| Artículo | De 60 a 60 días hábiles | De 60 a 60 días hábiles |
|---|---|---|
| Primer artículo | EUR 70,00 | EUR 70,00 |
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