Build RL dataflows such as GRPO, PPO in a few lines of code. Seamless integration of existing LLM infra with modular APIs: Decouples computation and data dependencies, enabling seamless integration ...

The AI agent hype has reached a new crescendo, but that doesn't bring us closer to successful projects. Enter AI evaluation - ...

Modern AI LLMs can seem almost magical when you use them. But, just like even the best magic tricks, there is an explanation ...

Meta faces challenges in AI as Chinese models like DeepSeek's R1 outperform with cost-effective innovation. Read an analysis ...

Custom benchmarks are essential for evaluating and optimizing LLMs to meet specific application needs, especially for ...

Four faculty members from the Illinois Grainger College of Engineering have received a total of $475,000 in grants to support ...

Abstract: This letter presents a model-free deep reinforcement learning framework for informative path planning with heterogeneous fleets of autonomous surface vehicles to locate and collect plastic ...

It achieved an 8.0% higher win rate over DeepSeek R1, suggesting that its strengths generalize beyond just logic or math-heavy challenges.

Reward models holding back AI? DeepSeek's SPCT creates self-guiding critiques, promising more scalable intelligence for enterprise LLMs.

Chinese AI startup DeepSeek has teamed up with Tsinghua University researchers to develop a new reinforcement learning ...

Turns out, training artificial intelligence systems is not unlike raising a child. That's why some AI researchers have begun mimicking the way children naturally acquire knowledge and learn about the ...