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Multi-LLM routing strategies for generative AI applications on AWS

AWS Machine Learning - AI

The content marketing interface incorporates two main UI components: a text generation module for creating social media posts, emails, and blogs, and an insight extraction module that identifies the most relevant keywords and phrases from customer reviews to improve content strategy. 70B and 8B.

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How Infosys improved accessibility for Event Knowledge using Amazon Nova Pro, Amazon Bedrock and Amazon Elemental Media Services

AWS Machine Learning - AI

People who miss events face significant obstacles accessing the knowledge shared, impacting sectors like education, media, and public sector where information recall is crucial. Post-event processing and knowledge base indexing After the event concludes, recorded media and transcriptions are securely stored in Amazon S3 for further analysis.

Media 79
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WordFinder app: Harnessing generative AI on AWS for aphasia communication

AWS Machine Learning - AI

Aphasia can make everyday tasks like online banking, using social media, and trying new devices challenging. The following diagram illustrates the solution architecture on AWS. In this architecture, the frontend of the word finding app is hosted on Amplify. This number is expected to grow to over 300,000 by 2050.

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Build a video insights and summarization engine using generative AI with Amazon Bedrock

AWS Machine Learning - AI

We walk through the key components and services needed to build the end-to-end architecture, offering example code snippets and explanations for each critical element that help achieve the core functionality. You can invoke Lambda functions from over 200 AWS services and software-as-a-service (SaaS) applications.

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How BQA streamlines education quality reporting using Amazon Bedrock

AWS Machine Learning - AI

The process involves the collection and analysis of extensive documentation, including self-evaluation reports (SERs), supporting evidence, and various media formats from the institutions being reviewed. The architecture seamlessly integrates multiple AWS services with Amazon Bedrock, allowing for efficient data extraction and comparison.

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Serverless, it can help you brew beer

Xebia

This allows you to use a Lambda function to use business logic to decide whether the call can be performed. Based on those questions, you might pivot your solution’s architecture. If you want to know more about what I have automated, make sure you follow me on my social media.

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Enhance your media search experience using Amazon Q Business and Amazon Transcribe

AWS Machine Learning - AI

Organizations are increasingly using media to engage with their audiences in innovative ways. Additionally, contact centers generate a wealth of media content, including support calls, screen-share recordings, and post-call surveys. In today’s digital landscape, the demand for audio and video content is skyrocketing.

Media 113