Remove AWS Remove Lambda Remove Media
article thumbnail

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.

article thumbnail

WordFinder app: Harnessing generative AI on AWS for aphasia communication

AWS Machine Learning - AI

David Copland, from QARC, and Scott Harding, a person living with aphasia, used AWS services to develop WordFinder, a mobile, cloud-based solution that helps individuals with aphasia increase their independence through the use of AWS generative AI technology. The following diagram illustrates the solution architecture on AWS.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

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

AWS Machine Learning - AI

This engine uses artificial intelligence (AI) and machine learning (ML) services and generative AI on AWS to extract transcripts, produce a summary, and provide a sentiment for the call. Organizations typically can’t predict their call patterns, so the solution relies on AWS serverless services to scale during busy times.

article thumbnail

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. To address these challenges, Infosys partnered with Amazon Web Services (AWS) to develop the Infosys Event AI to unlock the insights generated during events.

Media 79
article thumbnail

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. As part of the CIC program, BQA has built a proof of concept solution, harnessing the power of AWS services and generative AI capabilities.

Education 110
article thumbnail

Harness the power of MCP servers with Amazon Bedrock Agents

AWS Machine Learning - AI

invoke(input_text=Convert 11am from NYC time to London time) We showcase an example of building an agent to understand your Amazon Web Service (AWS) spend by connecting to AWS Cost Explorer , Amazon CloudWatch , and Perplexity AI through MCP. This gives you an AI agent that can transform the way you manage your AWS spend.

article thumbnail

Serverless, it can help you brew beer

Xebia

Due to this requirement, I used the API Gateway service from AWS. This allows you to use a Lambda function to use business logic to decide whether the call can be performed. If you want to know more about what I have automated, make sure you follow me on my social media. Using a queue completely decouples it.