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Multi-LLM routing strategies for generative AI applications on AWS

AWS Machine Learning - AI

Although an individual LLM can be highly capable, it might not optimally address a wide range of use cases or meet diverse performance requirements. In contrast, more complex questions might require the application to summarize a lengthy dissertation by performing deeper analysis, comparison, and evaluation of the research results.

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Automate emails for task management using Amazon Bedrock Agents, Amazon Bedrock Knowledge Bases, and Amazon Bedrock Guardrails

AWS Machine Learning - AI

Seamlessly integrate with APIs – Interact with existing business APIs to perform real-time actions such as transaction processing or customer data updates directly through email. Solution overview This section outlines the architecture designed for an email support system using generative AI.

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High-performance computing on AWS

Xebia

How does High-Performance Computing on AWS differ from regular computing? For this HPC will bring massive parallel computing, cluster and workload managers and high-performance components to the table. It’s built on serverless services (API Gateway / Lambda) and provides the same functionality as the CLI tool pcluster.

AWS 147
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Creating asynchronous AI agents with Amazon Bedrock

AWS Machine Learning - AI

These AI agents have demonstrated remarkable versatility, being able to perform tasks ranging from creative writing and code generation to data analysis and decision support. These systems are composed of multiple AI agents that converse with each other or execute complex tasks through a series of choreographed or orchestrated processes.

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Knowledge Bases for Amazon Bedrock now supports advanced parsing, chunking, and query reformulation giving greater control of accuracy in RAG based applications

AWS Machine Learning - AI

To address these performance issues, several factors can be controlled. Some of the benefits include: Efficient retrieval : The hierarchical structure allows faster and more targeted retrieval of relevant information; first by performing semantic search on the child chunk and then returning the parent chunk during retrieval.

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Medical content creation in the age of generative AI

AWS Machine Learning - AI

These models demonstrate impressive performance in question answering, text summarization, code, and text generation. The solution has been designed using the following services: Amazon Elastic Container Service (ECS) : to deploy and manage our Streamlit UI. It sends it back to the WebSocket via the Lambda function.

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Accelerating insurance policy reviews with generative AI: Verisk’s Mozart companion

AWS Machine Learning - AI

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.