Jay Alammar: Hands-On Large Language Models

Cover: 9781098150969 | Hands-On Large Language Models | Language Understanding and Generation

Dekorationsartikel gehören nicht zum Leistungsumfang.

Sprache: Englisch

73,95 €*

inkl. MwSt.

Versandkostenfrei per Post / DHL

Lieferzeit 2-3 Wochen

Kategorien:

Der Artikel ist nicht in deutscher Sprache verfasst.
Die Sprache der Produktbeschreibung und Details kann in Englisch angegeben sein. Sollten Sie Verständnisprobleme haben, wenden Sie sich gerne an uns.

Beschreibung

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

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

Über den Autor

Jay Alammar is Director and Engineering Fellow at Cohere (pioneering provider of large language models as an API). In this role, he advises and educates enterprises and the developer community on using language models for practical use cases). Through his popular AI/ML blog, Jay has helped millions of researchers and engineers visually understand machine learning tools and concepts from the basic (ending up in the documentation of packages like NumPy and pandas) to the cutting-edge (Transformers, BERT, GPT-3, Stable Diffusion). Jay is also a co-creator of popular machine learning and natural language processing courses on [...] and Udacity.

Erscheinungsjahr:	2024
Genre:	Importe , Informatik
Rubrik:	Naturwissenschaften & Technik
Medium:	Taschenbuch
ISBN-13:	9781098150969
ISBN-10:	1098150961
Sprache:	Englisch
Einband:	Kartoniert / Broschiert
Autor:	Alammar, Jay Grootendorst, Maarten
Hersteller:	O'Reilly Media
Verantwortliche Person für die EU:	preigu, Ansas Meyer, Lengericher Landstr. 19, D-49078 Osnabrück, mail@preigu.de
Maße:	229 x 175 x 26 mm
Von/Mit:	Jay Alammar (u. a.)
Erscheinungsdatum:	30.09.2024
Gewicht:	0,752 kg

Ähnliche Produkte