Transformers: The Definitive Guide: Applications Beyond NLP
About this ebook
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
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About the author
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.
