AWS Machine Learning Blog
Build a generative AI assistant to enhance employee experience using HAQM Q Business
In this blog post, we explore how you can use HAQM Q Business to build generative AI assistants that enhance employee experience and boost productivity. HAQM Q Business seamlessly integrates with internal data sources, knowledge bases, and productivity tools to equip your workforce with instant access to information, automated tasks, and personalized support.
Introducing document-level sync reports: Enhanced data sync visibility in HAQM Kendra
In this post, we show you how the new document-level report in HAQM Kendra provides enhanced visibility and observability into the document processing lifecycle during data source sync jobs.
Fine-tune Meta Llama 3.1 models using torchtune on HAQM SageMaker
In this post, AWS collaborates with Meta’s PyTorch team to showcase how you can use PyTorch’s torchtune library to fine-tune Meta Llama-like architectures while using a fully-managed environment provided by HAQM SageMaker Training.
Revolutionize logo design creation with HAQM Bedrock: Embracing generative art, dynamic logos, and AI collaboration
In this post, we walk through how AWS can help accelerate a brand’s creative efforts with access to a powerful image-to-image model from Stable Diffusion available on HAQM Bedrock to interactively create and edit art and logo images.
Reinvent personalization with generative AI on HAQM Bedrock using task decomposition for agentic workflows
In this post, we present an automated solution to provide a consistent and responsible personalization experience for your customers by using smaller LLMs for website personalization tailored to businesses and industries. This decomposes the complex task into subtasks handled by task / domain adopted LLMs, adhering to company guidelines and human expertise.
Accelerate pre-training of Mistral’s Mathstral model with highly resilient clusters on HAQM SageMaker HyperPod
In this post, we present to you an in-depth guide to starting a continual pre-training job using PyTorch Fully Sharded Data Parallel (FSDP) for Mistral AI’s Mathstral model with SageMaker HyperPod.
Building an efficient MLOps platform with OSS tools on HAQM ECS with AWS Fargate
In this post, we show you how Zeta Global, a data-driven marketing technology company, has built an efficient MLOps platform to streamline the end-to-end ML workflow, from data ingestion to model deployment, while optimizing resource utilization and cost efficiency.
Build RAG-based generative AI applications in AWS using HAQM FSx for NetApp ONTAP with HAQM Bedrock
In this post, we demonstrate a solution using HAQM FSx for NetApp ONTAP with HAQM Bedrock to provide a RAG experience for your generative AI applications on AWS by bringing company-specific, unstructured user file data to HAQM Bedrock in a straightforward, fast, and secure way.
Support for AWS DeepComposer ending soon
AWS DeepComposer was first introduced during AWS re:Invent 2019 as a fun way for developers to compose music by using generative AI. AWS DeepComposer was the world’s first machine learning (ML)-enabled keyboard for developers to get hands-on—literally—with a musical keyboard and the latest ML techniques to compose their own music. After careful consideration, we have […]
Preserve access and explore alternatives for HAQM Lookout for Equipment
In this post we discuss how you can maintain access to Lookout for Equipment after it is closed to new customers and some alternatives to Lookout for Equipment.