The vast potential of AI technology remains untapped in areas like audio, video, and complex data analysis.
Author(s): Nicole Koenigstein
370 Pages
Computers, Data Science
Description
Book Synopsis
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 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. The book equips you with a grand unified theory for transformers--foundational insights that keep you on the cutting edge regardless of state-of-the-art model evolutions.
You'll discover how to apply:
Transformers in nontext domains like image, video, and music generation
Reasoning models, coding agents, and multi-agent architectures
Training-time and test-time optimization strategies
Production deployment, runtime engineering, and hardware efficiency
Dimensions (Overall): 9.19 Inches (H) x 7.0 Inches (W) x .77 Inches (D)
Weight: 1.3 Pounds
Suggested Age: 22 Years and Up
Number of Pages: 370
Genre: Computers
Sub-Genre: Data Science
Publisher: O'Reilly Media
Theme: Machine Learning
Format: Paperback
Author: Nicole Koenigstein
Language: English
Street Date: May 5, 2026
TCIN: 1006443516
UPC: 9781098167011
Item Number (DPCI): 247-36-9074
Origin: Made in the USA or Imported
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Shipping details
Estimated ship dimensions: 0.77 inches length x 7 inches width x 9.19 inches height
Estimated ship weight: 1.3 pounds
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