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verl is a flexible, efficient and production-ready RL training library for large language models (LLMs). verl is the open-source version of HybridFlow: A Flexible and Efficient RLHF Framework paper.
Meta faces challenges in AI as Chinese models like DeepSeek's R1 outperform with cost-effective innovation. Read an analysis ...
Running large language models on your desktop depends as much on your accuracy needs as your GPU, and the key to performance ...
Sam Altman's OpenAI now requires a government ID for developer access to its advanced models, aiming to prevent output from ...
In close collaboration with Cloudforce, Microsoft has released a comprehensive eBook that highlights the transformative ...
These 10 AI companies are at the forefront of machine learning. Find out how they’re driving innovation and jostling to be ...
In September last year, American research firm Gartner predicted that by 2026, AI-enabled PCs would occupy 100% of the enterprise market. While this was a bold claim, a recent survey from IDC, in ...
We recently published a list of 12 Best Tech Stocks to Buy For Long-Term Investment. In this article, we are going to take a ...
DeepSeek V3 redefines AI coding and reasoning with powerful tools for developers. Learn about its features, strengths, and ...
Nvidia Corporation's Blackwell GB200 outperforms H100s, gain insights into cloud market challenges, data center trends, and ...
Microsoft's diversification from OpenAI speaks volumes about the future of AI investing . When I wrote about DeepSeek's remarkable AI breakthrough in January, ...
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