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

(ebook) (audiobook) (audiobook) Język publikacji: angielski
LLMs in Enterprise. Design strategies, patterns, and best practices for large language model development Ahmed Menshawy, Mahmoud Fahmy - okladka książki

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

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

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

Autorzy:
Ahmed Menshawy, Mahmoud Fahmy
Serie wydawnicze:
Learning
Wydawnictwo:
Packt Publishing (Z chęcią przeczytam książkę w języku polskim)
Ocena:
Bądź pierwszym, który oceni tę książkę
Stron:
564
The integration of large language models (LLMs) into enterprise applications is transforming how businesses use AI to drive smarter decisions and efficient operations. LLMs in Enterprise is your practical guide to bringing these capabilities into real-world business contexts. It demystifies the complexities of LLM deployment and provides a structured approach for enhancing decision-making and operational efficiency with AI.
Starting with an introduction to the foundational concepts, the book swiftly moves on to hands-on applications focusing on real-world challenges and solutions. You’ll master data strategies and explore design patterns that streamline the optimization and deployment of LLMs in enterprise environments. From fine-tuning techniques to advanced inferencing patterns, the book equips you with a toolkit for solving complex challenges and driving AI-led innovation in business processes.
By the end of this book, you’ll have a solid grasp of key LLM design patterns and how to apply them to enhance the performance and scalability of your 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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