Summary
In this chapter, we dived into the architecture patterns for generating and summarizing text using Amazon Bedrock. The first part of this chapter covered text generation. We looked at the fundamentals of text generation through prompt engineering techniques, in-line context training, and orchestration with LangChain. Then, we explored various use cases and patterns for text generation that you can apply to real-world scenarios.
The second part of this chapter covered text summarization. We discussed both extractive and abstractive summarization approaches and their respective applications. Furthermore, we examined the systems and techniques that can be employed for text summarization using Amazon Bedrock.
In the next chapter, we will explore building question-answering and conversational interfaces.
