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Scaling Up Reinforcement Learning for Traffic Smoothing: A 100-AV Highway Deployment link: https://bair.berkeley.edu/blog/2025/03/25/rl-av-smoothing/
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LLM Post-Training: A Deep Dive into Reasoning LLMs This survey paper provides an in-depth examination of post-training methodologies in Large Language Models (LLMs) focusing on improving reasoning capabilities. While LLMs achieve strong performance
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There is a paradigm on the AI frontier that is explicitly untapped even in foundational research labs. Deep learning allows for serendipitous model discovery whereby irreducible problems are now accessible by systematic scaling and deployment of dis
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Want to learn AI the right way in 2025? Don’t just take courses. Don’t just build toy projects. Look at what’s actually being used in the real world. The most practical way to really learn AI today is to follow the models that are shaping the indus
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THE ULTIMATE STARTUP RESOURCES What Every Founder Must Have Building a startup is like navigating a jungle—you need the right tools, guidance, and shortcuts to survive. But most founders waste months looking for the right resources instead of focu
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