Abstract: Large Language Models (LLMs) have transformed code generation, debugging, and security analysis, yet their application in real-time, comprehensive code review remains under explored. This ...

Martial arts robots may play well on stage, but can they get work done? A look at what it takes to deliver the reliability ...

3 月 16 日消息，小米 AI 实验室研究员罗福莉，也就是很多人口中的 " 天才少女 "，又发论文了。 论文名叫 ARL-Tangram: Unleash the Resource Efficiency in Agentic ...

There's a lot more to a model than just benchmarks.

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

Irene Okpanachi is a Features writer, covering mobile and PC guides that help you understand your devices. She has five years' experience in the Tech, E-commerce, and Food niches. Particularly, the ...

In reinforcement learning (RL), an agent learns to achieve its goal by interacting with its environment and learning from feedback about its successes and failures. This feedback is typically encoded ...

AI can be used to produce clinically meaningful radiology reports using medical images like chest x-rays. Medical image report generation can reduce reporting burden while improving workflow ...

AI agents are reshaping software development, from writing code to carrying out complex instructions. Yet LLM-based agents are prone to errors and often perform poorly on complicated, multi-step tasks ...

Download PDF Join the Discussion View in the ACM Digital Library Deep reinforcement learning (DRL) has elevated RL to complex environments by employing neural network representations of policies. 1 It ...