Summary
In this chapter, we explored the various facets of the generative AI landscape: from understanding language models and the development of various NLP techniques to the invention of current SOTA transformer models. Then, we covered industrial challenges in building generative AI applications at scale and how Amazon Bedrock is seamlessly tackling those challenges.
Furthermore, we explored various FMs offered by Amazon Bedrock and provided insights into how you can take advantage of various frameworks and tools to evaluate and select the right FM for your use case. We also looked at alternative generative AI capabilities offered by Amazon, including Amazon SageMaker and Amazon Q. We concluded this chapter by uncovering a few generative AI use cases with Amazon Bedrock in financial services, healthcare, and media and entertainment.
In the next chapter, we will discover several techniques to access Amazon Bedrock and dive into various APIs via serverless services. Furthermore...
