LLMs have shown advancements in reasoning capabilities through Reinforcement Learning with Verifiable Rewards (RLVR), which relies on outcome-based feedback rather than imitating intermediate reasoning steps. Current RLVR works face critical scalability challenges as they heavily depend on manually curated collections…
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 the integration of mathematical reasoning, scientific understanding, and advanced pattern recognition. As the demand…
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. These systems are expected to function across diverse…
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 this evolving threat landscape, Meta AI has released LlamaFirewall, an open-source guardrail system designed to…
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 reinforcement learning, RFT allows organizations to define custom objectives and reward functions, enabling…
LLMs have made significant strides in language-related tasks such as conversational AI, reasoning, and code generation. However, human communication extends beyond text, often incorporating visual elements to enhance understanding. To create a truly versatile AI, models need the ability to…
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 reasoning and problem-solving. The 32B, 14B, and 7B variants, all…
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 train a vision-language model (VLM) from scratch in just 750 lines of code. This…
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 and multimodal reasoning and understanding. This latest version delivers…
Large Language Models (LLMs) have gained significant attention in recent years, yet understanding their internal mechanisms remains challenging. When examining individual attention heads in Transformer models, researchers have identified specific functionalities in some heads, such as induction heads that predict…
