Key Features
- Build and refine LLMs step by step, covering data preparation, RAG, and fine-tuning
- Learn essential skills for deploying and monitoring LLMs, ensuring optimal performance in production
- Utilize preference alignment, evaluation, and inference optimization to enhance performance and adaptability of your LLM applications
Who this book is for
This book is for AI engineers, NLP professionals, and LLM engineers looking to deepen their understanding of LLMs. Basic knowledge of LLMs and the Gen AI landscape, Python and AWS is recommended. Whether you are new to AI or looking to enhance your skills, this book provides comprehensive guidance on implementing LLMs in real-world scenarios