AI

Large-scale AI model training faces significant challenges with failure recovery and monitoring. Traditional training requires complete job restarts when even a single training process fails, resulting in additional downtime and increased costs. As training clusters expand, identifying and resolving critical issues like stalled GPUs and numerical instabilities typically requires complex custom monitoring code. With Amazon SageMaker […]

This holiday season, more shoppers are expected to use chatbots to figure out what to buy. ‘Tis the season for GEO.

The Federal Trade Commission removed several blog posts in recent months about open source and potential risks to consumers from the rapid spread of commercial AI tools.

A degree in computer science used to promise a cozy career in tech. Now, students’ ambitions are shaped by AI, in fields that blend computing with analysis, interpretation, and data.

Anthropic partnered with the US government to create a filter meant to block Claude from helping someone build a nuke. Experts are divided on whether its a necessary protection—or a protection at all.

Google’s Gemini AI has offended my dog, but at least it can automatically turn the lights on for me.

It’s hard to keep up with the ever-changing trends of the fashion world. What’s “in” one minute is often out of style the next season, potentially causing you to re-evaluate your wardrobe. Staying current with the latest fashion styles can be wasteful and expensive, though. Roughly 92 million tons of textile waste are produced annually, including

This post is co-written with Ross Ashworth at TP ICAP. The ability to quickly extract insights from customer relationship management systems (CRMs) and vast amounts of meeting notes can mean the difference between seizing opportunities and missing them entirely. TP ICAP faced this challenge, having thousands of vendor meeting records stored in their CRM. Using

This guest post was written by Mulay Ahmed and Caroline Lima-Lane of Principal Financial Group. The content and opinions in this post are those of the third-party authors and AWS is not responsible for the content or accuracy of this post. With US contact centers that handle millions of customer calls annually, Principal Financial Group®

Choosing the right large language model (LLM) for your use case is becoming both increasingly challenging and essential. Many teams rely on one-time (ad hoc) evaluations based on limited samples from trending models, essentially judging quality on “vibes” alone. This approach involves experimenting with a model’s responses and forming subjective opinions about its performance. However,