Key Features
- Learn comprehensive LLM development, including data prep, training pipelines, and optimization
- Explore advanced prompting techniques, such as chain-of-thought, tree-of-thought, RAG, and AI agents
- Implement evaluation metrics, interpretability, and bias detection for fair, reliable models
Who this book is for
This book is essential for AI engineers, architects, data scientists, and software engineers responsible for developing and deploying AI systems powered by large language models. A basic understanding of machine learning concepts and experience in Python programming is a must.