
Transformers: The Definitive Guide
Applications Beyond NLP
Nicole Koenigstein(Author)
O'Reilly (Publisher)
Published on 10. April 2026
Book
Paperback/Softback
400 pages
978-1-0981-6701-1 (ISBN)
Description
The vast potential of AI technology remains untapped in areas like audio, video, and complex data analysis. In fact, many of today's professionals find it challenging to apply AI innovations across these diverse domains due to a lack of comprehensive guidance and practical implementations.
This comprehensive guide, tailored especially for intermediate to advanced ML engineers, data scientists, and researchers, fills the gap. Author Nicole Koenigstein guides readers through the versatile applications of transformer models, not only deepening theoretical understanding but also emphasizing actionable strategies for real-world applications.
You'll discover how to:
Apply transformers in nontext domains like image and music generation
Optimize GPU usage and model training times
Deploy and monitor transformer models effectively in production environments
Utilize libraries such as Ray Tune and Optuna for advanced model tuning
This comprehensive guide, tailored especially for intermediate to advanced ML engineers, data scientists, and researchers, fills the gap. Author Nicole Koenigstein guides readers through the versatile applications of transformer models, not only deepening theoretical understanding but also emphasizing actionable strategies for real-world applications.
You'll discover how to:
Apply transformers in nontext domains like image and music generation
Optimize GPU usage and model training times
Deploy and monitor transformer models effectively in production environments
Utilize libraries such as Ray Tune and Optuna for advanced model tuning
More details
Language
English
Place of publication
Sebastopol
United States
Target group
Professional and scholarly
Product notice
Paperback (trade)
Unsewn / adhesive bound
Dimensions
Height: 231 mm
Width: 175 mm
Thickness: 21 mm
Weight
644 gr
ISBN-13
978-1-0981-6701-1 (9781098167011)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Person
Nicole is a distinguished data scientist and quantitative researcher, currently working as chief data scientist and head of AI and quantitative research for Wyden Capital, an algorithmic-based investment company, and as head of AI and quantitative research at quantmate, an innovative FinTech startup focused on alternative data in predictive modeling. Alongside her roles in these organizations, she serves as an AI consultant across a broad spectrum of AI applications, ranging from natural language processing, time series data, image classification and segmentation, to anomaly detection and beyond. She leads workshops and guides companies from the conceptual stages of AI implementation through to final deployment.