AWS Machine Learning Blog

Category: Announcements

Best practices and lessons for fine-tuning Anthropic’s Claude 3 Haiku on Amazon Bedrock

Best practices and lessons for fine-tuning Anthropic’s Claude 3 Haiku on Amazon Bedrock

In this post, we explore the best practices and lessons learned for fine-tuning Anthropic’s Claude 3 Haiku on Amazon Bedrock. We discuss the important components of fine-tuning, including use case definition, data preparation, model customization, and performance evaluation.

Transitioning from Amazon Rekognition people pathing: Exploring other alternatives

After careful consideration, we made the decision to discontinue Rekognition people pathing on October 31, 2025. New customers will not be able to access the capability effective October 24, 2024, but existing customers will be able to use the capability as normal until October 31, 2025. This post discusses an alternative solution to Rekognition people pathing and how you can implement this solution in your applications.

Automate fine-tuning of Llama 3.x models with the new visual designer for Amazon SageMaker Pipelines

Automate fine-tuning of Llama 3.x models with the new visual designer for Amazon SageMaker Pipelines

In this post, we will show you how to set up an automated LLM customization (fine-tuning) workflow so that the Llama 3.x models from Meta can provide a high-quality summary of SEC filings for financial applications. Fine-tuning allows you to configure LLMs to achieve improved performance on your domain-specific tasks.

Amazon Bedrock Custom Model Import now generally available

We’re pleased to announce the general availability (GA) of Amazon Bedrock Custom Model Import. This feature empowers customers to import and use their customized models alongside existing foundation models (FMs) through a single, unified API.

Introducing SageMaker Core: A new object-oriented Python SDK for Amazon SageMaker

Introducing SageMaker Core: A new object-oriented Python SDK for Amazon SageMaker

In this post, we show how the SageMaker Core SDK simplifies the developer experience while providing API for seamlessly executing various steps in a general ML lifecycle. We also discuss the main benefits of using this SDK along with sharing relevant resources to learn more about this SDK.

Enable or disable ACL crawling safely in Amazon Q Business

Amazon Q Business recently added support for administrators to modify the default access control list (ACL) crawling feature for data source connectors. Amazon Q Business is a fully managed, AI powered assistant with enterprise-grade security and privacy features. It includes over 40 data source connectors that crawl and index documents. By default, Amazon Q Business […]