chongwm@amazon.com Aspects for Generative AI enhancements with Amazon Bedrock Prompt provided to Foundation Model. d:text false Summarize the following document. TRUE false DateTime when summarization was completed d:datetime false 1970-01-01 TRUE Use Amazon Bedrock to generate a summary of the contents. d:boolean true true TRUE AI generated summary d:text false TRUE false Foundation Model used d:text true amazon.titan-text-lite-v1 BOTH true amazon.titan-tg1-large amazon.titan-embed-g1-text-02 amazon.titan-text-lite-v1 amazon.titan-text-express-v1 amazon.titan-embed-text-v1 stability.stable-diffusion-xl stability.stable-diffusion-xl-v0 stability.stable-diffusion-xl-v1 ai21.j2-grande-instruct ai21.j2-jumbo-instruct ai21.j2-mid ai21.j2-mid-v1 ai21.j2-ultra ai21.j2-ultra-v1 anthropic.claude-instant-v1 anthropic.claude-v1 anthropic.claude-v2 cohere.command-text-v14 cohere.command-light-text-v14 cohere.embed-english-v3 cohere.embed-multilingual-v3 meta.llama2-13b-chat-v1 true true Informs the AI to know whether to play it safe or get creative. Low temperature is predictable, high temperature is unpredictable. A temperature 1.0 may provide low quality responses that border nonsense. d:float false TRUE 0.0 1.0 Allowable length of the response the FM can provide. FM verbosity generally increases on a higher value. Each FM has its own maximum length (aka tokens). d:int false 250 TRUE