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Deploy DeepSeek-R1 Distilled Llama models in Amazon Bedrock

AWS Machine Learning - AI

Their DeepSeek-R1 models represent a family of large language models (LLMs) designed to handle a wide range of tasks, from code generation to general reasoning, while maintaining competitive performance and efficiency. 70B-Instruct ), offer different trade-offs between performance and resource requirements.

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

AWS Machine Learning - AI

If you don’t have an AWS account, refer to How do I create and activate a new Amazon Web Services account? If you don’t have an existing knowledge base, refer to Create an Amazon Bedrock knowledge base. Performance optimization The serverless architecture used in this post provides a scalable solution out of the box.

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

AWS Machine Learning - AI

Shared components refer to the functionality and features shared by all tenants. API Gateway is serverless and hence automatically scales with traffic. The advantage of using Application Load Balancer is that it can seamlessly route the request to virtually any managed, serverless or self-hosted component and can also scale well.

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Video security analysis for privileged access management using generative AI and Amazon Bedrock

AWS Machine Learning - AI

Security and compliance regulations require that security teams audit the actions performed by systems administrators using privileged credentials. Video recordings cant be easily parsed like log files, requiring security team members to playback the recordings to review the actions performed in them.

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Use LangChain with PySpark to process documents at massive scale with Amazon SageMaker Studio and Amazon EMR Serverless

AWS Machine Learning - AI

That’s where the new Amazon EMR Serverless application integration in Amazon SageMaker Studio can help. In this post, we demonstrate how to leverage the new EMR Serverless integration with SageMaker Studio to streamline your data processing and machine learning workflows.

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Boost productivity by using AI in cloud operational health management

AWS Machine Learning - AI

Event-driven operations management Operational events refer to occurrences within your organization’s cloud environment that might impact the performance, resilience, security, or cost of your workloads. Create business intelligence (BI) dashboards for visual representation and analysis of event data.

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Build a contextual text and image search engine for product recommendations using Amazon Bedrock and Amazon OpenSearch Serverless

AWS Machine Learning - AI

In this post, we show how to build a contextual text and image search engine for product recommendations using the Amazon Titan Multimodal Embeddings model , available in Amazon Bedrock , with Amazon OpenSearch Serverless. Store embeddings into the Amazon OpenSearch Serverless as the search engine.