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Hands-On Large Language Models

By Jay Alammar

Hands-On Large Language Models Computer Science

Hands-On Large Language Models

By Jay Alammar

0 - Default Title
Description
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 representation - Build advanced LLM pipelines to cluster text documents and explore the topics they cover - Build semantic search engines that go beyond keyword search, using methods like dense retrieval and rerankers - Explore how generative models can be used, from prompt engineering all the way to retrieval-augmented generation - Gain 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
Product details
Binding:
Paperback
Edition:
1
Number of Pages:
403
Release Date:
2024-10-08
Publication Date:
2024-09-30
Publisher:
O'Reilly Media
Languages:
Original: English
ISBN10:
1098150961
ISBN13:
9781098150969
GPSR Manufacturer Reference:
[email protected]
Weight:
752 g
Height:
175 cm
Width:
229 cm
Thickness:
26 cm
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