Praxisbuch Large Language Models
German, Jay Alammar, Maarten Grootendorst, Marcus Fraass, 2025More than 10 pieces in stock at supplier
Product details
Author: Jay Alammar
Jay Alammar is the Director and Engineering Fellow at Cohere, a leader in providing Large Language Models as an API. In this role, he advises and trains companies and the developer community on using language models for practical applications. Through his popular AI/ML blog, Jay has helped millions of researchers and software engineers visually understand machine learning tools and concepts—from the basics to the latest developments like Transformers, BERT, GPT-3, and Stable Diffusion. Jay is also a co-creator of popular courses on Machine Learning and Natural Language Processing on Deeplearning.ai and Udacity.
Author: Maarten Grootendorst
Maarten Grootendorst is a Senior Clinical Data Scientist at IKNL (Netherlands Comprehensive Cancer Organization). He holds master's degrees in Organizational Psychology, Clinical Psychology, and Data Science, which he uses to convey complex machine learning concepts to a broad audience. Through his popular blogs, he has reached millions of readers by explaining the fundamentals of artificial intelligence—often from a psychological perspective. He is the author and maintainer of several open-source packages that leverage the power of Large Language Models, such as BERTopic, PolyFuzz, and KeyBERT. His packages have been downloaded millions of times and are used by data experts and organizations worldwide.
topic | Technology & IT |
Subtopic | Computer science |
Language | German |
Author | Jay Alammar, Maarten Grootendorst, Marcus Fraass |
Year | 2025 |
Number of pages | 434 |
Book cover | Paperback |
Item number | 58159658 |
Publisher | O'Reilly |
Category | Reference books |
Release date | 2.5.2025 |
Sales rank in Category Reference books | 205 of 931500 |
topic | Technology & IT |
Subtopic | Computer science |
Language | German |
Author | Jay Alammar, Maarten Grootendorst, Marcus Fraass |
Year | 2025 |
Number of pages | 434 |
Edition | 1 |
Book cover | Paperback |
CO₂ emissions | 0.35 kg |
Climate contribution | CHF 0.11 |
Height | 240 mm |
Width | 165 mm |
Weight | 824 g |
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