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ExternalAI
AWS Machine Learning Blog

Teaching models to forget: Selective unlearning with Amazon Nova

In this post, we introduce Reverse Direct Preference Optimization (rDPO), the novel unlearning technique behind Amazon Nova Customizable Content Moderation Settings (CCMS), and show how it reduces over-deflection while preserving model quality. We also provide pointers for customers who want to apply these preference optimization techniques to their own experiments.

Amazon SageMakerAnnouncementsFoundational (100)
AWS Machine Learning BlogRead original
ExternalSoftware Engineering
DEV Community

Meta Pixel not firing? The 6 real causes, in the order to check them

"The Meta Pixel isn't firing" is one of the most common things I get called in to fix. The frustrating part is that "the pixel is installed" and "the pixel is firing" are completely different claims - and most dashboards happily say connected while the events never actually leave the browser. Here are the six causes I check, in order, each with a verification step you can run in a couple of minutes. First, know what you're looking for. A firing pixel sends network requests to facebook.com/tr. Op

webdevanalyticsdebugging
DEV CommunityRead original
ExternalSoftware Engineering
DEV Community

I needed cross-platform screen capture in Rust, so I built pinray

So I needed screen capture in Rust. Simple enough, right? Wrong. I went looking for a crate and found three options: scap, xcap, and waycap-rs. Each one had problems that drove me nuts. So I open sourced pinray, a Rust crate for cross-platform screen and system audio capture. The goal is simple: provide a single API over each platform's native capture APIs without depending on ffmpeg or another large capture framework. pinray focuses on capture only. It gives you raw video and audio frames with

rustopensourceprogramming
DEV CommunityRead original
ExternalAI
NVIDIA Technical Blog

Enhancing Goodput in Large-Scale LLM Training with Nonuniform Tensor Parallelism

Training LLMs at massive scale brings unique infrastructure challenges, especially as jobs span thousands of GPUs and run for extended periods. The longer these... Training LLMs at massive scale brings unique infrastructure challenges, especially as jobs span thousands of GPUs and run for extended periods. The longer these jobs run, the greater the likelihood of encountering unscheduled interruptions or resource fluctuations. Even infrequent device unavailability can have outsized effects on tig

NVIDIA Technical BlogRead original

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