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Deploy DeepSeek-R1 Distilled Llama models in Amazon Bedrock

AWS Machine Learning - AI

Amazon Bedrock Custom Model Import enables the import and use of your customized models alongside existing FMs through a single serverless, unified API. This serverless approach eliminates the need for infrastructure management while providing enterprise-grade security and scalability. Watch this video demo for a step-by-step guide.

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Accelerate AWS Well-Architected reviews with Generative AI

AWS Machine Learning - AI

The workflow consists of the following steps: WAFR guidance documents are uploaded to a bucket in Amazon Simple Storage Service (Amazon S3). Using Amazon Bedrock Knowledge Base, the sample solution ingests these documents and generates embeddings, which are then stored and indexed in Amazon OpenSearch Serverless.

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Supabase raises $6M for its open-source Firebase alternative

TechCrunch

Currently, Supabase includes support for PostgreSQL databases and authentication tools , with a storage and serverless solution coming soon. Like other Y Combinator startups, Supabase closed its funding round after the accelerator’s demo day in August.

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Enhance customer support with Amazon Bedrock Agents by integrating enterprise data APIs

AWS Machine Learning - AI

The solution presented in this post takes approximately 15–30 minutes to deploy and consists of the following key components: Amazon OpenSearch Service Serverless maintains three indexes : the inventory index, the compatible parts index, and the owner manuals index. The following diagram illustrates how it works.

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Create a generative AI–powered custom Google Chat application using Amazon Bedrock

AWS Machine Learning - AI

Although we previously demonstrated a usage scenario that involves a direct chat with the Amazon Bedrock application, you can also invoke the application from within a Google chat space, as illustrated in the following demo. Performance optimization The serverless architecture used in this post provides a scalable solution out of the box.

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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

The following screenshot shows a brief demo based on a fictitious scenario to illustrate Event AIs real-time streaming capability. MediaLive also extracts the audio-only output and stores it in an Amazon Simple Storage Service (Amazon S3) bucket, facilitating a subsequent postprocessing workflow.

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What I have been working on: Modal

Erik Bernhardsson

We've been focusing a lot on machine learning recently, in particular model inference — Stable Diffusion is obviously the coolest thing right now, but we also support a wide range of other things: Using OpenAI's Whisper model for transcription , Dreambooth , object detection (with a webcam demo!). How does it work?

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