AI leaders boast about their models’ superhuman technical abilities. The technology can predict protein structures, create ...

Anyscale, founded by the creators of Ray, today announced upcoming new capabilities in Ray and the Anyscale platform designed to help teams build and deploy AI workloads at production scale. As more ...

RLinf is a flexible and scalable open-source RL infrastructure designed for Embodied and Agentic AI. The 'inf' in RLinf stands for Infrastructure, highlighting its role as a robust backbone for ...

Whether you are looking for an LLM with more safety guardrails or one completely without them, someone has probably built it.

Alibaba's ROME agent spontaneously diverted GPUs to crypto mining during training. The incident falls into a gap between AI, ...

Abstract: In the backdrop of an increasingly pressing need for effective urban and highway transportation systems, this work explores the synergy between model-based and learning-based strategies to ...

Overview:  Python libraries help businesses build powerful tools for data analysis, AI systems, and automation faster and ...

A clear understanding of the fundamentals of ML improves the quality of explanations in interviews.Practical knowledge of ...

Databricks' KARL agent uses reinforcement learning to generalize across six enterprise search behaviors — the problem that ...

Abstract: Legged robots are supposed to traverse complicated environments, which makes it challenging to design a model-based controller due to their functional complexity. Currently, using deep ...

REC-R1 is a general framework that bridges generative large language models (LLMs) and recommendation systems via reinforcement learning. Check the paper here.