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Hands-on Large Language Models : Language Understanding and Generation, Paper...

Description: Hands-on Large Language Models : Language Understanding and Generation, Paperback by Alammar, Jay; Grootendorst, Maarten, ISBN 1098150961, ISBN-13 9781098150969, Like New Used, Free shipping in the US AI has acquired startling new language capabilities in just the past few years. Driven by rapid advances in deep learning, language AI systems are able to write and understand text better than ever before. This trend is enabling new features, products, and entire industries. Through this book's visually educational nature, readers will learn practical tools and concepts they need to use these capabilities today. You'll understand how to use pretrained large language models for use cases like copywriting and summarization; create semantic search systems that go beyond keyword matching; and use existing libraries and pretrained models for text classification, search, and clusterings. This book also helps you:Understand the architecture of Transformer language models that excel at text generation and representationBuild advanced LLM pipelines to cluster text documents and explore the topics they coverBuild semantic search engines that go beyond keyword search, using methods like dense retrieval and rerankersExplore how generative models can be used, from prompt engineering all the way to retrieval-augmented generationGain a deeper understanding of how to train LLMs and optimize them for specific applications using generative model fine-tuning, contrastive fine-tuning, and in-context learning

Price: 66.29 USD

Location: Jessup, Maryland

End Time: 2024-11-06T21:22:42.000Z

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Hands-on Large Language Models : Language Understanding and Generation, Paper...

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Book Title: Hands-on Large Language Models : Language Understanding and Gener

Number of Pages: 400 Pages

Publication Name: Hands-On Large Language Models : Language Understanding and Generation

Language: English

Publisher: O'reilly Media, Incorporated

Subject: Data Modeling & Design, Computer Science

Item Height: 0.9 in

Publication Year: 2024

Item Weight: 25.9 Oz

Type: Textbook

Subject Area: Computers

Author: Jay Alammar, Maarten Grootendorst

Item Length: 9 in

Item Width: 7.1 in

Format: Trade Paperback

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