Hands-on large language models : language understanding and generation / Jay Alammar and Maarten Grootendorst.

Format:

Book

Author/Creator:

Alammar, Jay, author.

Grootendorst, Maarten, author.

Language:

English

Subjects (All):

Natural language generation (Computer science).

Artificial intelligence--Computer programs.

Artificial intelligence.

Natural language processing (Computer science).

Physical Description:

1 online resource (350 pages) : illustrations

Edition:

First edition.

Place of Publication:

Sebastopol, CA : O'Reilly Media, Inc., 2024.

Summary:

AI has acquired startling new language capabilities in just the past few years. Driven by the rapid advances in deep learning, language AI systems are able to write and understand text better than ever before. This trend enables the rise of new features, products, and entire industries. With this book, Python developers will learn the practical tools and concepts they need to use these capabilities today. You'll learn how to use the power of pretrained large language models for use cases like copywriting and summarization; create semantic search systems that go beyond keyword matching; build systems that classify and cluster text to enable scalable understanding of large numbers of text documents; and use existing libraries and pretrained models for text classification, search, and clusterings.

Notes:

OCLC-licensed vendor bibliographic record.

ISBN:

9781098150952

1098150953

OCLC:

1420047035