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Multi-LLM routing strategies for generative AI applications on AWS

AWS Machine Learning - AI

The Pro tier, however, would require a highly customized LLM that has been trained on specific data and terminology, enabling it to assist with intricate tasks like drafting complex legal documents. These embeddings are then saved as a reference index inside an in-memory FAISS vector store, which is deployed as a Lambda layer.

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How BQA streamlines education quality reporting using Amazon Bedrock

AWS Machine Learning - AI

The Education and Training Quality Authority (BQA) plays a critical role in improving the quality of education and training services in the Kingdom Bahrain. BQA oversees a comprehensive quality assurance process, which includes setting performance standards and conducting objective reviews of education and training institutions.

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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. You can invoke Lambda functions from over 200 AWS services and software-as-a-service (SaaS) applications.

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Build a multi-tenant generative AI environment for your enterprise on AWS

AWS Machine Learning - AI

It also uses a number of other AWS services such as Amazon API Gateway , AWS Lambda , and Amazon SageMaker. Alternatively, you can use AWS Lambda and implement your own logic, or use open source tools such as fmeval. For example, in one common scenario with Cognito that accesses resources with API Gateway and Lambda with a user pool.

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Enhance speech synthesis and video generation models with RLHF using audio and video segmentation in Amazon SageMaker

AWS Machine Learning - AI

This granular input helps models learn how to produce speech that sounds natural, with appropriate pacing and emotional consistency. Amazon SageMaker Ground Truth enables RLHF by allowing teams to integrate detailed human feedback directly into model training. Feature Overview The integration of Wavesurfer.js

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Extend large language models powered by Amazon SageMaker AI using Model Context Protocol

AWS Machine Learning - AI

By doing this, clients and servers can scale independently, making it a great fit for serverless orchestration powered by Lambda, AWS Fargate for Amazon ECS, or Fargate for Amazon EKS. For example, a simple way to deploy an MCP server is to use Lambda support for Docker images to install the MCP dependency on the Lambda function or Fargate.

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Vietnam-based CoderSchool gets $2.6M pre-Series A to scale online course platform

TechCrunch

The company, founded in 2015 by Charles Lee and Harley Trung, who previously worked as software engineers, pivoted from offline to online in early 2020 to bring high-quality technical training to everyone, everywhere. Lambda School raises $74M for its virtual coding school where you pay tuition only after you get a job.

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