Remove LLM Remove Responsible AI Remove UX Design
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The Future of Software Engineering: LLMs and Beyond

Heartbeat

After closely observing the software engineering landscape for 23 years and engaging in recent conversations with colleagues, I can’t help but feel that a specialized Large Language Model (LLM) is poised to power the following programming language revolution. The LLM Ecosystem The impact of LLMs extends beyond mere code generation.

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Reinvent personalization with generative AI on Amazon Bedrock using task decomposition for agentic workflows

AWS Machine Learning Blog

The personalized content is built using generative AI by following human guidance and provided sources of truth. In this solution, the LLM is asked to use the sentence without changes because it’s a testimonial. Now we’re ready to send our prompt to the personalizer LLM with all the relevant information.

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Accelerate video Q&A workflows using Amazon Bedrock Knowledge Bases, Amazon Transcribe, and thoughtful UX design

AWS Machine Learning Blog

Not only are large language models (LLMs) capable of answering a users question based on the transcript of the file, they are also capable of identifying the timestamp (or timestamps) of the transcript during which the answer was discussed. The file is sent to Amazon Transcribe and the resulting transcript is stored in Amazon S3.