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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. This strategy results in more robust, versatile, and efficient applications that better serve diverse user needs and business objectives. In this post, we provide an overview of common multi-LLM applications.

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Journey to Event Driven – Part 3: The Affinity Between Events, Streams and Serverless

Confluent

With serverless being all the rage, it brings with it a tidal change of innovation. or invest in a vendor-agnostic layer like the serverless framework ? or invest in a vendor-agnostic layer like the serverless framework ? What is more, as the world adopts the event-driven streaming architecture, how does it fit with serverless?

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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

With cosine similarity, you can measure the orientation between two vectors, which makes it a good choice for some specific semantic search applications. A multimodal embeddings model is designed to learn joint representations of different modalities like text, images, and audio.

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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

Amazon Bedrock offers a serverless experience so you can get started quickly, privately customize FMs with your own data, and integrate and deploy them into your applications using AWS tools without having to manage infrastructure. Choose Users in the navigation pane, and navigate to the support user.

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Create a generative AI-based application builder assistant using Amazon Bedrock Agents

AWS Machine Learning - AI

In this post, we set up an agent using Amazon Bedrock Agents to act as a software application builder assistant. Amazon Bedrock Agents helps you accelerate generative AI application development by orchestrating multistep tasks. This offers tremendous use case flexibility, enables dynamic workflows, and reduces development cost.

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Ground truth generation and review best practices for evaluating generative AI question-answering with FMEval

AWS Machine Learning - AI

Generative AI question-answering applications are pushing the boundaries of enterprise productivity. To ensure the highest quality measurement of your question answering application against ground truth, the evaluation metrics implementation must inform ground truth curation. 201% $12.2B What was Amazons operating margin in 2023?

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Build an end-to-end RAG solution using Knowledge Bases for Amazon Bedrock and AWS CloudFormation

AWS Machine Learning - AI

Prerequisites To implement the solution provided in this post, you should have the following: An active AWS account and familiarity with FMs, Amazon Bedrock, and OpenSearch Serverless. He specializes in generative AI, machine learning, and system design. An S3 bucket where your documents are stored in a supported format (.txt,md,html,doc/docx,csv,xls/.xlsx,pdf).