Blog

March 4, 2025

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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

March 4, 2025

ikayaniaamirshahzad@gmail.com

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

March 4, 2025

ikayaniaamirshahzad@gmail.com

One Task X – One task today > ten half-done

Home Product One Task X One task today > ten half-done One Task X cuts the chaos—focus on one task each day, manage many overall. Simple, bold, and built for doers who want clarity over clutter. Tick your “X” and own your day. No signup. No installation. Free Meet the team Show more Show more Show more About this launch One Task X One task today > ten half-done Follow 225 Points 19 Comments One Task X by was hunted by in Productivity, Task Management. Made by . Featured on March 4th, 2025. is not rated yet. This is One

March 4, 2025

ikayaniaamirshahzad@gmail.com

Optimizing LLM Test-Time Compute Involves Solving a Meta-RL Problem – Machine Learning Blog | ML@CMU

Figure 1: Training models to optimize test-time compute and learn “how to discover” correct responses, as opposed to the traditional learning paradigm of learning “what answer” to output. The major strategy to improve large language models (LLMs) thus far has been to use more and more high-quality data for supervised fine-tuning (SFT) or reinforcement learning (RL). Unfortunately, it seems this form of scaling will soon hit a wall, with the scaling laws for pre-training plateauing, and with reports that high-quality text data for training maybe exhausted by 2028, particularly for more difficult tasks, like solving reasoning problems which seems to

March 4, 2025

ikayaniaamirshahzad@gmail.com

All the Top New Gadgets at MWC 2025

Mobile World Congress, better known as MWC, is an annual tradeshow in Barcelona, where many of the major players in mobile get together to unveil new devices, announce services, and make deals. It’s no longer the central hub of all the latest and greatest smartphone announcements as it used to be, but there were a few notable reveals this year, along with plenty of fun concepts, AI, and other gadgets. WIRED has been trudging the halls of the show to find the best of the best—here are our top picks from MWC 2025. Power up with unlimited access to WIRED.

March 4, 2025

ikayaniaamirshahzad@gmail.com

Empowering Open Source: The License-Token Revolution

Open source development has been at the heart of technological innovation for decades. However, with great creativity comes great complexity—especially when it comes to licensing, attribution, and monetization. In a world where open source projects are continuously evolving, maintaining clarity and fairness in these areas is essential. That’s where License-Token steps in, providing an innovative solution that leverages blockchain technology and smart contracts to empower open source creators. In this blog post, we explore License-Token’s groundbreaking approach and its potential to redefine the future of open source licensing. Introduction Open source projects thrive on community collaboration and the shared passion

March 4, 2025

ikayaniaamirshahzad@gmail.com

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

March 4, 2025

ikayaniaamirshahzad@gmail.com

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

March 4, 2025

ikayaniaamirshahzad@gmail.com

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

March 4, 2025

ikayaniaamirshahzad@gmail.com

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