Optimizing LLM inference on Amazon SageMaker AI with BentoML’s LLM- Optimizer

Favorite The rise of powerful large language models (LLMs) that can be consumed via API calls has made it remarkably straightforward to integrate artificial intelligence (AI) capabilities into applications. Yet despite this convenience, a significant number of enterprises are choosing to self-host their own models—accepting the complexity of infrastructure management,

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Shared by AWS Machine Learning December 24, 2025

Agentic QA automation using Amazon Bedrock AgentCore Browser and Amazon Nova Act

Favorite Quality assurance (QA) testing has long been the backbone of software development, but traditional QA approaches haven’t kept pace with modern development cycles and complex UIs. Most organizations still rely on a hybrid approach combining manual testing with script-based automation frameworks like Selenium, Cypress, and Playwright—yet teams spend significant

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Shared by AWS Machine Learning December 24, 2025

AI agent-driven browser automation for enterprise workflow management

Favorite Enterprise organizations increasingly rely on web-based applications for critical business processes, yet many workflows remain manually intensive, creating operational inefficiencies and compliance risks. Despite significant technology investments, knowledge workers routinely navigate between eight to twelve different web applications during standard workflows, constantly switching contexts and manually transferring information between

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Shared by AWS Machine Learning December 24, 2025

Programmatically creating an IDP solution with Amazon Bedrock Data Automation

Favorite Intelligent Document Processing (IDP) transforms how organizations handle unstructured document data, enabling automatic extraction of valuable information from invoices, contracts, and reports. Today, we explore how to programmatically create an IDP solution that uses Strands SDK, Amazon Bedrock AgentCore, Amazon Bedrock Knowledge Base, and Bedrock Data Automation (BDA). This solution is provided through

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Shared by AWS Machine Learning December 24, 2025

Introducing Visa Intelligent Commerce on AWS: Enabling agentic commerce with Amazon Bedrock AgentCore

Favorite This post is cowritten with Sangeetha Bharath and Seemal Zaman from Visa. Across every industry, agentic AI is redefining how work gets done by shifting digital experiences from manual, user-driven interactions to autonomous, outcome-driven workflows. Unlike traditional AI systems that merely answer questions or provide suggestions, agentic AI introduces

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Shared by AWS Machine Learning December 23, 2025

Accelerating your marketing ideation with generative AI – Part 1: From idea to generation with the Amazon Nova foundation models

Favorite Marketing teams face increasing pressure to create engaging campaigns quickly while maintaining brand consistency and creative quality. Traditional marketing campaign creation processes often involve multiple iterations between creative teams, stakeholders, and external agencies, leading to extended timelines and increased costs. The advent and availability of generative models (especially image

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Shared by AWS Machine Learning December 23, 2025

Advancing ADHD diagnosis: How Qbtech built a mobile AI assessment Model Using Amazon SageMaker AI

Favorite This post is cowritten with Dr. Mikkel Hansen from Qbtech. The assessment and diagnosis of attention deficit hyperactive disorder (ADHD) has traditionally relied on clinical observations and behavioral evaluations. While these methods are valuable, the process can be complex and time-intensive. Qbtech, founded in 2002 in Stockholm, Sweden, enhances

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Shared by AWS Machine Learning December 23, 2025

Accelerate Enterprise AI Development using Weights & Biases and Amazon Bedrock AgentCore

Favorite This post is co-written by Thomas Capelle and Ray Strickland from Weights & Biases (W&B). Generative artificial intelligence (AI) adoption is accelerating across enterprises, evolving from simple foundation model interactions to sophisticated agentic workflows. As organizations transition from proof-of-concepts to production deployments, they require robust tools for development, evaluation,

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Shared by AWS Machine Learning December 23, 2025

AWS AI League: Model customization and agentic showdown

Favorite Building intelligent agents to handle complex, real-world tasks can be daunting. Additionally, rather than relying solely on large, pre-trained foundation models, organizations often need to fine-tune and customize smaller, more specialized models to outperform them for their specific use cases. The AWS AI League provides an innovative program to help

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Shared by AWS Machine Learning December 23, 2025