[{"data":1,"prerenderedAt":34},["ShallowReactive",2],{"repo-amazon-bedrock-serverless-prompt-chaining":3},{"id":4,"title":5,"contributors":6,"date":8,"description":9,"diagram":10,"extension":11,"framework":12,"gitHub":14,"introBox":17,"language":21,"meta":23,"resources":24,"services":25,"simplicity":29,"stem":30,"type":31,"usecase":32,"__hash__":33},"repos\u002Frepos\u002Famazon-bedrock-serverless-prompt-chaining.json","Generative AI Prompt Chaining",[7],"content\u002Fcontributors\u002Fclare-liguori.json","2024-01-03","Build complex generative AI functionality with prompt chaining.","\u002Fassets\u002Fimages\u002Frepos\u002Famazon-bedrock-serverless-prompt-chaining.png","json",[13],"AWS CDK",{"template":15},{"repoURL":16},"https:\u002F\u002Fgithub.com\u002Faws-samples\u002Famazon-bedrock-serverless-prompt-chaining",{"headline":18,"text":19},"Chain generative AI prompts and invoke large language models on Amazon Bedrock.",[20],"Prompt chaining is a generative AI technique for accomplishing complex tasks with large language models (LLMs). With prompt chaining, complex tasks are broken down into smaller well-defined subtask prompts, and each prompt is fed to the LLM in a defined order. This repository provides an example application that uses AWS Step Functions and Amazon Bedrock to build complex generative AI functionality with prompt chaining.",[22],"Python",{},null,[26,27,28],"lambda-event-functions","sfn","bedrock","200","repos\u002Famazon-bedrock-serverless-prompt-chaining","Application","Backend","87WwhCeCJ_AlhpC9nVUZRTxIq-CYDRgbnSU8hkvm6xE",1792578864531]