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If you have been struggling to get your LLM to be more reliable and eliminate the hallucinations in the response, then look no further. This book will show you all you need to know and then some. The theory mixed with the code examples in jupyter notebook form is really helpful to see things in action.
A must-read for anyone working with large language models! This book offers clear explanations, practical techniques, and real-world insights that bridge the gap between theory and application. Whether you’re a beginner or experienced practitioner, it provides valuable guidance on prompt engineering, RAG, fine-tuning, and deploying AI agents effectively. Highly recommended!