LLMs in Enterprise. Design strategies for large language model development, design patterns and best practices

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Autorzy:: Ahmed Menshawy, Mahmoud Fahmy

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LLMs in Enterprise. Design strategies for large language model development, design patterns and best practices Ahmed Menshawy, Mahmoud Fahmy - okladka książki

LLMs in Enterprise. Design strategies for large language model development, design patterns and best practices Ahmed Menshawy, Mahmoud Fahmy - audiobook MP3

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Serie wydawnicze:: Learning
Wydawnictwo:: Packt Publishing (Z chęcią przeczytam książkę w języku polskim)
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The integration of Large Language Models (LLMs) into enterprise applications marks a significant advancement in how businesses leverage AI for enhanced decision-making and operational efficiency. This book is an essential guide for professionals seeking to integrate LLMs within their enterprise applications. LLMs in Enterprise not only demystifies the complexity behind LLM deployment but also provides a structured approach to enhancing decision-making and operational efficiency with AI.

Starting with an introduction to the foundational concepts of LLMs, the book swiftly moves to practical applications, emphasizing real-world challenges and solutions. It covers a range of topics from data strategies. We explore various design patterns that are particularly effective in optimizing and deploying LLMs in enterprise environments. From fine-tuning strategies to advanced inferencing patterns, the book provides a toolkit for harnessing the power of LLMs to solve complex challenges and drive innovation in business processes.

By the end of this book, you will have a deep understanding of various design patterns for LLMs and how to implement these patterns to enhance the performance and scalability of their Generative AI solutions.

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O autorach książki

Ahmed Menshawy is a Research Engineer at the Trinity College Dublin, Ireland. He has more than 5 years of working experience in the area of ML and NLP. He holds an MSc in Advanced Computer Science. He started his Career as a Teaching Assistant at the Department of Computer Science, Helwan University, Cairo, Egypt. He taught several advanced ML and NLP courses such as ML, Image Processing, and so on. He was involved in implementing the state-of-the-art system for Arabic Text to Speech. He was the main ML specialist at the Industrial research and development lab at IST Networks, based in Egypt.

Mahmoud Fahmy is a Sr Machine Learning Engineer at Mastercard, specializing in the development and operationalization of AI products. His primary focus is on optimizing machine learning pipelines and navigating the intricate challenges of deploying models effectively for end customers.

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Szczegóły książki

Tytuł oryginału:: LLMs in Enterprise. Design strategies for large language model development, design patterns and best practices
ISBN Ebooka:: 978-18-362-0306-3, 9781836203063
Data wydania ebooka :: 2024-09-30 Data wydania ebooka często jest dniem wprowadzenia tytułu do sprzedaży i może nie być równoznaczna z datą wydania książki papierowej. Dodatkowe informacje możesz znaleźć w darmowym fragmencie. Jeśli masz wątpliwości skontaktuj się z nami sklep@helion.pl.
Język publikacji:: 1

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Kategorie:
Programowanie » Python - Programowanie
Serie wydawnicze: Learning

Spis treści książki

1. Introduction to Large Language Models (LLMs)
2. LLMs in Enterprise: Applications, Challenges, and Design Patterns
3. Data and Training in Foundation Models
4. Fine-Tuning and Retrieval-Augmented Generation (RAG) Patterns
5. Customizing Contextual LLMs Patterns
6. Evaluation Patterns
7. Data Strategy for LLMs
8. Model Deployment
9. Accelerated and Optimized Inferencing Patterns
10. LLMs in Production
11. RAG 2.0: Beyond Mainstream RAG
12. Connected LLMs Pattern
13. Responsible AI in LLMs
14. Emerging Trends and Multimodality

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