AWS Machine Learning Blog
Category: Amazon Bedrock
Build a serverless voice-based contextual chatbot for people with disabilities using Amazon Bedrock
In this post, we presented how to create a fully serverless voice-based contextual chatbot using Amazon Bedrock with Anthropic Claude.
Import a question answering fine-tuned model into Amazon Bedrock as a custom model
In this post, we provide a step-by-step approach of fine-tuning a Mistral model using SageMaker and import it into Amazon Bedrock using the Custom Import Model feature.
Architecture to AWS CloudFormation code using Anthropic’s Claude 3 on Amazon Bedrock
In this post, we explore some ways you can use Anthropic’s Claude 3 Sonnet’s vision capabilities to accelerate the process of moving from architecture to the prototype stage of a solution.
GenAI for Aerospace: Empowering the workforce with expert knowledge on Amazon Q and Amazon Bedrock
In this post we show how you can quickly launch generative AI-enabled expert chatbots, trained on your proprietary document sets, to empower your workforce across specific aerospace roles with Amazon Q and Amazon Bedrock.
Build a multimodal social media content generator using Amazon Bedrock
In this post, we walk you through a step-by-step process to create a social media content generator app using vision, language, and embedding models (Anthropic’s Claude 3, Amazon Titan Image Generator, and Amazon Titan Multimodal Embeddings) through Amazon Bedrock API and Amazon OpenSearch Serverless.
Improve employee productivity using generative AI with Amazon Bedrock
In this post, we show you the Employee Productivity GenAI Assistant Example, a solution built on AWS technologies like Amazon Bedrock, to automate writing tasks and enhance employee productivity.
Elevate RAG for numerical analysis using Amazon Bedrock Knowledge Bases
In this post, we discuss how Amazon Bedrock Knowledge Bases provides a powerful solution for numerical analysis on documents. You can deploy this solution in an AWS account and use it to analyze different types of documents.
Vision use cases with Llama 3.2 11B and 90B models from Meta
This is the first time that the Llama models from Meta have been released with vision capabilities. These new capabilities expand the usability of Llama models from their traditional text-only applications. In this post, we demonstrate how you can use Llama 3.2 11B and 90B models for a variety of vision-based use cases.
Deploy generative AI agents in your contact center for voice and chat using Amazon Connect, Amazon Lex, and Amazon Bedrock Knowledge Bases
In this post, we show you how DoorDash built a generative AI agent using Amazon Connect, Amazon Lex, and Amazon Bedrock Knowledge Bases to provide a low-latency, self-service experience for their delivery workers.
Generate synthetic data for evaluating RAG systems using Amazon Bedrock
In this post, we explain how to use Anthropic Claude on Amazon Bedrock to generate synthetic data for evaluating your RAG system.