LLMs have shown advancements in reasoning capabilities through Reinforcement Learning with Verifiable Rewards (RLVR), which relies on outcome-based feedback rather than imitating intermediate ...

Multimodal AI rapidly evolves to create systems that can understand, generate, and respond using multiple data types within a single conversation or task, such as text, images, and even video or audio ...

AI models today are expected to handle complex tasks such as solving mathematical problems, interpreting logical statements, and assisting with enterprise decision-making. Building such models demands ...

OpenAI has launched Reinforcement Fine-Tuning (RFT) on its o4-mini reasoning model, introducing a powerful new technique for tailoring foundation models to specialized tasks. Built on principles of ...

As AI agents become more autonomous—capable of writing production code, managing workflows, and interacting with untrusted data sources—their exposure to security risks grows significantly. Addressing ...

NVIDIA continues to push the boundaries of open AI development by open-sourcing its Open Code Reasoning (OCR) model suite — a trio of high-performance large language models purpose-built for code ...

Just ahead of its annual I/O developer conference, Google has released an early preview of Gemini 2.5 Pro (I/O Edition)—a substantial update to its flagship AI model focused on software development ...

In a notable step toward democratizing vision-language model development, Hugging Face has released nanoVLM, a compact and educational PyTorch-based framework that allows researchers and developers to ...

At the heart of Parakeet TDT 0.6B’s appeal is its unmatched speed and transcription quality. The model can transcribe 60 minutes of audio in just one second, a performance that’s over 50x faster than ...

Researchers at the Institute of Computing Technology, Chinese Academy of Sciences, have introduced LLaMA-Omni2, a family of speech-capable large language models (SpeechLMs) now available on Hugging ...

Large reasoning models (LRMs) have shown impressive capabilities in mathematics, coding, and scientific reasoning. However, they face significant limitations when addressing complex information ...

OpenAI has published a comprehensive 24-page document titled AI in the Enterprise, offering a pragmatic framework for organizations navigating the complexities of large-scale AI deployment. Rather ...