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

AWS Machine Learning - AI

AWS offers powerful generative AI services , including Amazon Bedrock , which allows organizations to create tailored use cases such as AI chat-based assistants that give answers based on knowledge contained in the customers’ documents, and much more. This request contains the user’s message and relevant metadata.

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How to Overcome Challenges With AWS Lambda Logging

DevOps.com

Monitoring AWS Lambda can be a complex and potentially costly endeavor. Here’s what you need to know to stay on track and on budget Organizations are already experiencing a shift toward serverless cloud computing. The post How to Overcome Challenges With AWS Lambda Logging appeared first on DevOps.com.

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Automate Amazon Bedrock batch inference: Building a scalable and efficient pipeline

AWS Machine Learning - AI

To address this consideration and enhance your use of batch inference, we’ve developed a scalable solution using AWS Lambda and Amazon DynamoDB. We walk you through our solution, detailing the core logic of the Lambda functions. Amazon S3 invokes the {stack_name}-create-batch-queue-{AWS-Region} Lambda function.

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Multi-LLM routing strategies for generative AI applications on AWS

AWS Machine Learning - AI

Organizations are increasingly using multiple large language models (LLMs) when building generative AI applications. The multi-LLM approach enables organizations to effectively choose the right model for each task, adapt to different domains, and optimize for specific cost, latency, or quality needs. 70B and 8B.

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

AWS Machine Learning - AI

This solution can help your organizations’ sales, sales engineering, and support functions become more efficient and customer-focused by reducing the need to take notes during customer calls. Organizations typically can’t predict their call patterns, so the solution relies on AWS serverless services to scale during busy times.

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Creating asynchronous AI agents with Amazon Bedrock

AWS Machine Learning - AI

The integration of generative AI agents into business processes is poised to accelerate as organizations recognize the untapped potential of these technologies. This post will discuss agentic AI driven architecture and ways of implementing. Understanding how to implement this type of pattern will be explained later in this post.

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Track, allocate, and manage your generative AI cost and usage with Amazon Bedrock

AWS Machine Learning - AI

Organizations need to prioritize their generative AI spending based on business impact and criticality while maintaining cost transparency across customer and user segments. Without a scalable approach to controlling costs, organizations risk unbudgeted usage and cost overruns.