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[Ebook] Designing Large Language Model Applications
Early release chapters 1, 2, & 3 are available now!
Transformer-based language models are powerful tools for solving various language tasks and represent a phase shift in natural language processing. But the transition from demos and prototypes to full-fledged applications has been slow.
The purpose of this book is to empower data scientists and engineers to exploit these capabilities and build useful products for society while minimizing harm.
Here’s what you’ll learn:
How to determine which models are better and which tasks;
Clever ways to deal with failure modes of current state-of-the-art language models and methods to exploit their strengths for building useful products
How to develop an intuition about the Transformer architecture and the impact of each architectural decision
…and much more.