Remove Lambda Remove Serverless Remove Strategy
article thumbnail

Multi-LLM routing strategies for generative AI applications on AWS

AWS Machine Learning - AI

This strategy results in more robust, versatile, and efficient applications that better serve diverse user needs and business objectives. We then explore strategies for implementing effective multi-LLM routing in these applications, discussing the key factors that influence the selection and implementation of such strategies.

article thumbnail

Streamlining Workflows with Feature Branches and Logical Stacks

Xebia

However, proper strategies can make managing resources, dependencies, and environments challenging. By switching to serverless, you pay for the usage. The CheckoutProcess name describes what it is, a role used by, for example, a lambda function that processes the checkout. Simple: In the example, we needed an RDS instance.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

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.

Lambda 129
article thumbnail

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

AWS Machine Learning - AI

These insights are stored in a central repository, unlocking the ability for analytics teams to have a single view of interactions and use the data to formulate better sales and support strategies. Organizations typically can’t predict their call patterns, so the solution relies on AWS serverless services to scale during busy times.

article thumbnail

Modernizing on AWS: Strategies, Benefits, and Partnerships with Xebia

Xebia

Companies are modernizing the cloud through various strategies and approaches. This, of course, takes into consideration the organization’s strategy, business and technical goals, security, and compliance requirements.

AWS 130
article thumbnail

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. API Gateway is serverless and hence automatically scales with traffic. It’s serverless so you don’t have to manage the infrastructure. This implementation overcomes timeout limitations in synchronous REST requests.

article thumbnail

Amazon Q Business simplifies integration of enterprise knowledge bases at scale

AWS Machine Learning - AI

Step Functions orchestrates AWS services like AWS Lambda and organization APIs like DataStore to ingest, process, and store data securely. The workflow includes the following steps: The Prepare Map Input Lambda function prepares the required input for the Map state. An EventBridge rule invokes the Rectify & Notify Lambda function.