Optimizing LLM Applications: Strategies for Speed and Efficiency for Real World
Anvil, George
- 出版商: Independently Published
- 出版日期: 2023-09-06
- 售價: $900
- 貴賓價: 9.5 折 $855
- 語言: 英文
- 頁數: 208
- 裝訂: Quality Paper - also called trade paper
- ISBN: 9798860499300
- ISBN-13: 9798860499300
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相關分類:
LangChain
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商品描述
Master the Secrets to Optimizing LLM Applications for Speed and Efficiency LLMs are the brains of AI-powered products. They can understand language, power chatbots, and translate languages. But in the real world, they can be slow and inefficient. This book shows you how to make LLMs perform better.
Learn how to make LLMs perform with lightning speed and unbeatable efficiency
Discover the latest techniques and strategies for parallelization, memory management, hardware acceleration, and more Gain hands-on experience with real-world use cases, from chatbots to language translation Who is this book for?
Developers and data scientists who want to optimize LLM applications
Anyone who wants to learn how to make LLMs perform faster and more efficiently What's inside?
Why should you buy this book?
Learn how to make LLMs perform with lightning speed and unbeatable efficiency
Discover the latest techniques and strategies for parallelization, memory management, hardware acceleration, and more Gain hands-on experience with real-world use cases, from chatbots to language translation Who is this book for?
Developers and data scientists who want to optimize LLM applications
Anyone who wants to learn how to make LLMs perform faster and more efficiently What's inside?
- An introduction to the basics of LLMs
- A comprehensive overview of the latest optimization techniques
- Real-world use cases of LLM optimization
- Hands-on exercises to help you learn by doing
Why should you buy this book?
- This is the most comprehensive guide to optimizing LLM applications available.
- It covers everything you need to know to get started with LLM optimization, from the basics to advanced topics.
- The book is packed with practical examples and exercises that will help you learn by doing.
- The author is an expert in the field of LLM optimization and has a proven track record of teaching others.