This book provides a deep dive into generative AI and LLMs, focusing on their transformative potential in the enterprise. It covers the evolution of AI, the significance of data, and the mechanics of LLMs, including categorization and technology behind them. The lifecycle of LLM app projects is detailed, from identifying use cases to deploying applications, emphasizing the importance of data pipelines, reducing latency, and cost management. Security, ethical considerations, and the importance of centralizing data governance are highlighted. The book also addresses the challenges of biases, open-source risks, hallucinations, and copyright issues.

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