AI agents are rapidly evolving from mere chat interfaces into sophisticated autonomous workers that handle complex, time-intensive tasks. As organizations deploy agents to train machine learning (ML) models, process large datasets, and run extended simulations, the Model Context Protocol (MCP) has emerged as a...
Organizations face significant challenges in making their recruitment processes more efficient while maintaining fair hiring practices. By using AI to transform their recruitment and talent acquisition processes, organizations can overcome these challenges. AWS offers a suite of AI services that can be used to...
Today we’re excited to announce that the NVIDIA Nemotron 3 Nano 30B model with 3B active parameters is now generally available in the Amazon SageMaker JumpStart model catalog. You can accelerate innovation and deliver tangible business value with Nemotron 3 Nano on Amazon Web...
This is a guest post by Suyeol Yun, Jaeseon Ha, Subeen Pang and Jacob (Chanyeol) Choi at LinqAlpha, in partnership with AWS.
LinqAlpha is a Boston-based multi-agent AI system built specifically for institutional investors. Over 170 hedge funds and asset managers worldwide use...
If you’re managing Internet of Things (IoT) devices at scale, alert fatigue is probably undermining your system’s effectiveness. This post shows you how to implement intelligent notification filtering using Amazon Bedrock and its gen-AI capabilities. You’ll learn model selection strategies, cost optimization techniques, and...
In production generative AI applications, we encounter a series of errors from time to time, and the most common ones are requests failing with 429 ThrottlingException and 503 ServiceUnavailableException errors. As a business application, these errors can happen due to multiple layers in the...
