Remove Lambda Remove Open Source Remove Scalability
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8 open source companies from YC Demo Day Winter ’22

TechCrunch

Wicked fast VPNs, data organization tools, auto-generated videos to spice up your company’s Instagram stories … Y Combinator’s Winter 2022 open source founders have some interesting ideas up their sleeves. And since they’re open source, some of these companies will let you join in on the fun of collaboration too.

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

AWS Machine Learning - AI

In contrast, our solution is an open-source project powered by Amazon Bedrock , offering a cost-effective alternative without those limitations. Amazon DynamoDB is a fully managed NoSQL database service that provides fast and predictable performance with seamless scalability.

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

AWS Machine Learning - AI

The Lambda function runs the database query against the appropriate OpenSearch Service indexes, searching for exact matches or using fuzzy matching for partial information. The Lambda function processes the OpenSearch Service results and formats them for the Amazon Bedrock agent.

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Introducing AWS MCP Servers for code assistants (Part 1)

AWS Machine Learning - AI

Were excited to announce the open source release of AWS MCP Servers for code assistants a suite of specialized Model Context Protocol (MCP) servers that bring Amazon Web Services (AWS) best practices directly to your development workflow. Developers need code assistants that understand the nuances of AWS services and best practices.

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Creating asynchronous AI agents with Amazon Bedrock

AWS Machine Learning - AI

Conversely, asynchronous event-driven systems offer greater flexibility and scalability through their distributed nature. While this approach may introduce more complexity in tracking and debugging workflows, it excels in scenarios requiring high scalability, fault tolerance, and adaptive behavior.

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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. Instead, use an IAM role, a Lambda authorizer , or an Amazon Cognito user pool.

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Empower your generative AI application with a comprehensive custom observability solution

AWS Machine Learning - AI

Although the implementation is straightforward, following best practices is crucial for the scalability, security, and maintainability of your observability infrastructure. Access the source code and documentation in our GitHub repository and start your integration journey.