In my opinion, the future belongs instead to hyperspecialized AI models that are tailored to excel in hyper-specific domains.

Ambience’s latest AI model reduces coding errors and targets $266 billion in annual administrative waste SAN FRANCISCO, CA / ...

Researchers found that AI models like ChatGPT o3 will try to prevent system shutdowns in tests, even when told to allow them.

Contrary to popular perception, the paper contends that historic AI milestones were enabled less by unique algorithmic ...

Beyond performance and portability, its Apache 2.0 license offers a compelling proposition for commercial applications.

OpenAI has introduced Codex, a new AI-powered coding agent now available as a research preview to select ChatGPT subscribers. This launch marks a significant milestone for ...

However, beginners in programming often struggle to correct code errors independently, limiting their learning efficiency. This paper proposed a Multi-Agent framework with environmentally ...

Reinforcement fine-tuning introduces a more expressive and controllable method for adapting language models to real-world use cases. With support for structured outputs, code-based and model-based ...

Welcome to the official repository for MT-R1-Zero, the first open-source adaptation of the R1-Zero Reinforcement Learning (RL ... We strongly encourage you to try our code firsthand.

Through this paper, a team of Meta AI researchers introduce a reinforcement learning framework that leverages the code augmentation of the execution feedback loop. The LLM generates a code based on ...