[{"data":1,"prerenderedAt":46},["ShallowReactive",2],{"reinvent2024-api310":3},{"id":4,"title":5,"YouTubeChannelID":6,"banner":6,"contributors":7,"description":6,"extension":10,"introBox":11,"meta":14,"pdf":15,"resources":18,"stem":44,"type":6,"video":6,"videos":6,"__hash__":45},"reinvent2024\u002Freinvent2024\u002Fapi310.json","API310: Building a Generative AI Meeting Summarization Solution with Step Functions",null,[8,9],"content\u002Fcontributors\u002Fadam-wagner.json","content\u002Fcontributors\u002Fjustin-callison.json","json",{"headline":12,"text":13},"Resources for API310: Building a Generative AI meeting summarization solution with Step Functions","In this code talk, see live coding of a serverless application for producing meeting summaries with generative AI. Learn how to orchestrate transcription using Amazon Transcribe and summarization with Amazon Bedrock, orchestrated with AWS Step Functions. Discover how to simplify and scale your application using event-driven techniques with Amazon EventBridge. Leave with practical skills for developing serverless generative AI solutions that streamline meeting insights through automated transcription and summarization powered by AI\u002FML services.",{},{"source":16,"headline":17},"https:\u002F\u002Fserverlessland.s3.amazonaws.com\u002Fpdf\u002Freinvent2024\u002FAPI310.pdf","Slides from the presentation",{"left":19,"right":31},[20,26],{"headline":21,"subheading":22,"text":23,"button":24},"Building Generative AI prompt chaining workflows with human in the loop","Blog","In this blog post, you will learn about prompt chaining, how to break a complex task into multiple tasks to use prompt chaining with an LLM in a specific order, and how to involve a human to review the response generated by the LLM.",{"text":22,"link":25},"https:\u002F\u002Faws.amazon.com\u002Fblogs\u002Fmachine-learning\u002Fbuilding-generative-ai-prompt-chaining-workflows-with-human-in-the-loop\u002F",{"headline":27,"subheading":22,"text":28,"button":29},"Automate the process to change image backgrounds using Amazon Bedrock and AWS Step Functions","This post introduces a solution that simplifies the process of changing backgrounds in multiple images. By harnessing the capabilities of generative AI with Amazon Bedrock and the Titan Image Generator G1 model, combined with Step Functions, this solution efficiently generates images with the desired background. This post provides insight into the inner workings of the solution and helps you understand the design choices made to build this own custom solution.",{"text":22,"link":30},"https:\u002F\u002Faws.amazon.com\u002Fblogs\u002Fmachine-learning\u002Fautomate-the-process-to-change-image-backgrounds-using-amazon-bedrock-and-aws-step-functions\u002F",[32,39],{"headline":33,"subheading":34,"text":35,"button":36},"AWS Step Functions Examples on GitHub","Step Functions examples","A number of different, in depth, Step Functions examples",{"text":37,"link":38},"Code","https:\u002F\u002Fgithub.com\u002Faws-samples\u002Faws-stepfunctions-examples",{"headline":40,"subheading":34,"text":41,"button":42},"AWS Step Functions Examples on Serverlessland","A wide variety of Step Functions examples, from the very simple to quite complex.",{"text":37,"link":43},"https:\u002F\u002Fserverlessland.com\u002Fworkflows","reinvent2024\u002Fapi310","4ybyYjIrIIm2W0djQe8WZ3dKFkInwRH4C_jn74ub_fU",1792578931377]