Large Language Models : a Deep Dive
Bridging Theory and Practice
Comprehensive exploration of LLM design, training, evolution, and application from architecture to prompt-based learning.
About the book
A Springer publication blending theory and practice, covering pre-trained language models, transformer architectures, prompt-based learning, fine-tuning, and deployment. Structured with practical appendices. Authors bring 25+ years of ML research and industry experience in scalable systems.
Summary
Summary coming soon!