Articles for category: Software (Tech & Development)

Finding leaked passwords with AI: How we built Copilot secret scanning

In October 2024, we announced the general availability of Copilot secret scanning, leveraging AI to detect generic passwords in users’ codebases. This post describes how Copilot secret scanning works under the hood, the challenges we ran into when developing it, and the framework we use for testing and iteration. What is Copilot secret scanning? Copilot secret scanning is a feature of GitHub Secret Protection, which protects millions of repositories on GitHub by detecting hundreds of pattern types through our partner program. The precision of these detections is paramount for security teams and developers when dealing with security alerts. Historically, our

Reddit – Dive into anything

We value your privacy Reddit and its partners use cookies and similar technologies to provide you with a better experience. By accepting all cookies, you agree to our use of cookies to deliver and maintain our services and site, improve the quality of Reddit, personalize Reddit content and advertising, and measure the effectiveness of advertising. By rejecting non-essential cookies, Reddit may still use certain cookies to ensure the proper functionality of our platform. For more information, please see our Cookie Notice and our Privacy Policy. Source link

Reddit – Dive into anything

We value your privacy Reddit and its partners use cookies and similar technologies to provide you with a better experience. By accepting all cookies, you agree to our use of cookies to deliver and maintain our services and site, improve the quality of Reddit, personalize Reddit content and advertising, and measure the effectiveness of advertising. By rejecting non-essential cookies, Reddit may still use certain cookies to ensure the proper functionality of our platform. For more information, please see our Cookie Notice and our Privacy Policy. Source link

Reddit – Dive into anything

We value your privacy Reddit and its partners use cookies and similar technologies to provide you with a better experience. By accepting all cookies, you agree to our use of cookies to deliver and maintain our services and site, improve the quality of Reddit, personalize Reddit content and advertising, and measure the effectiveness of advertising. By rejecting non-essential cookies, Reddit may still use certain cookies to ensure the proper functionality of our platform. For more information, please see our Cookie Notice and our Privacy Policy. Source link

Reddit – Dive into anything

We value your privacy Reddit and its partners use cookies and similar technologies to provide you with a better experience. By accepting all cookies, you agree to our use of cookies to deliver and maintain our services and site, improve the quality of Reddit, personalize Reddit content and advertising, and measure the effectiveness of advertising. By rejecting non-essential cookies, Reddit may still use certain cookies to ensure the proper functionality of our platform. For more information, please see our Cookie Notice and our Privacy Policy. Source link

Reddit – Dive into anything

We value your privacy Reddit and its partners use cookies and similar technologies to provide you with a better experience. By accepting all cookies, you agree to our use of cookies to deliver and maintain our services and site, improve the quality of Reddit, personalize Reddit content and advertising, and measure the effectiveness of advertising. By rejecting non-essential cookies, Reddit may still use certain cookies to ensure the proper functionality of our platform. For more information, please see our Cookie Notice and our Privacy Policy. Source link

Reddit – Dive into anything

We value your privacy Reddit and its partners use cookies and similar technologies to provide you with a better experience. By accepting all cookies, you agree to our use of cookies to deliver and maintain our services and site, improve the quality of Reddit, personalize Reddit content and advertising, and measure the effectiveness of advertising. By rejecting non-essential cookies, Reddit may still use certain cookies to ensure the proper functionality of our platform. For more information, please see our Cookie Notice and our Privacy Policy. Source link

Hugging Face Publishes Guide on Efficient LLM Training Across GPUs

Hugging Face has published the Ultra-Scale Playbook: Training LLMs on GPU Clusters, an open-source guide that provides a detailed exploration of the methodologies and technologies involved in training LLMs across GPU clusters. The playbook is based on over 4000 scaling experiments conducted using up to 512 GPUs, with a focus on optimizing throughput, GPU utilization, and training efficiency. It aims to provide practical guidance for researchers and engineers working on large-scale model training, offering reproducible benchmarks, implementation details, and performance optimizations. The guide covers various parallelism strategies essential for scaling LLM training. Data parallelism (DP) enables multiple GPUs to process

Cisco warns of Webex for BroadWorks flaw exposing credentials

Cisco warned customers today of a vulnerability in Webex for BroadWorks that could let unauthenticated attackers access credentials remotely. Webex for BroadWorks integrates Cisco Webex’s video conferencing and collaboration features with the BroadWorks unified communications platform. While the company has yet to assign a CVE ID to track this security issue, Cisco says in a Tuesday security advisory that it already pushed a configuration change to address the flaw and advised customers to restart their Cisco Webex app to get the fix. “A low-severity vulnerability in Cisco Webex for BroadWorks Release 45.2 could allow an unauthenticated, remote attacker to access data and

How many episodes should you watch before giving up on a TV show (and what do statistics say)?

In a nutshell: Not all television shows are created equal. Even among those that are universally praised, it can take a handful of episodes or more before a series sets its hook and starts reeling you in. This leads to a question that many have no doubt pondered over the years: how many episodes should you give a series before cutting your losses and moving on? Daniel Parris from Stat Significant recently set out to answer this age-old question. To quantify it, Parris looked at IMDb user ratings (ranging from 1 to 10) for Friends and found the average to