Part 1: Amazon Bedrock Foundations
This part establishes the fundamental principles and practices for effectively leveraging Amazon Bedrock. We begin by exploring the suite of foundation models offered by Amazon Bedrock, providing insights into their capabilities and optimal use cases. The book then progresses to advanced techniques in prompt engineering, a critical skill for maximizing the potential of large language models. We explore strategies for model customization, allowing users to tailor these tools to their specific needs and domains. We also examine the implementation of RAG, a cutting-edge approach that significantly enhances model performance by integrating external knowledge sources.
This part contains the following chapters:
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