Salesforce AI Research has unveiled Moirai 2.0, the latest advancement in the world of time series foundation models. Built atop a decoder-only transformer architecture, Moirai 2.0 sets a new bar for performance and efficiency, claiming the #1 spot on the GIFT-Eval benchmark-the gold standard for time-series forecasting model evaluation. Not only is it 44% faster…
While AI might feel ubiquitous, it primarily operates in a tiny fraction of the world’s 7,000 languages, leaving a huge portion of the global population behind. NVIDIA aims to fix this glaring blind spot, particularly within Europe. The company has just released a powerful new set of open-source tools aimed at giving developers the power…
Supervised Fine-Tuning (SFT) is a standard technique for adapting LLMs to new tasks by training them on expert demonstration datasets. It is valued for its simplicity and ability to develop expert-like behavior quickly, but often underperforms in generalization compared to reinforcement learning (RL). RL allows models to explore diverse strategies, which leads to stronger generalization….
Google AI has expanded the Gemma family with the introduction of Gemma 3 270M, a lean, 270-million-parameter foundation model built explicitly for efficient, task-specific fine-tuning. This model demonstrates robust instruction-following and advanced text structuring capabilities “out of the box,” meaning it’s ready for immediate deployment and customization with minimal additional training. Design Philosophy: “Right Tool…
Meta AI has just released DINOv3, a breakthrough self-supervised computer vision model that sets new standards for versatility and accuracy across dense prediction tasks, all without the need for labeled data. DINOv3 employs self-supervised learning (SSL) at an unprecedented scale, training on 1.7 billion images with a 7 billion parameter architecture. For the first time,…
DeepSeek’s plan to train its new AI model, R2, on Huawei’s Ascend chips has failed and forced a retreat to Nvidia while delaying launch. For months, the narrative pushed by Beijing has been one of unstoppable technological progress and a march towards self-sufficiency. However, reality has a habit of biting back. The recent troubles of…
The rise of agentic AI fuels AI in ways traditional AI can’t. The scope of AI is plentiful, but there’s a small subsection of tasks Agentic AI is just better at, thanks to its increased levels of autonomy. With the improvement in capability comes a fresh look at how to manage such a tool within…
Anthropic has detailed its safety strategy to try and keep its popular AI model, Claude, helpful while avoiding perpetuating harms. Central to this effort is Anthropic’s Safeguards team; who aren’t your average tech support group, they’re a mix of policy experts, data scientists, engineers, and threat analysts who know how bad actors think. However, Anthropic’s…
Artificial intelligence and machine learning workflows are notoriously complex, involving fast-changing code, heterogeneous dependencies, and the need for rigorously repeatable results. By approaching the problem from basic principles—what does AI actually need to be reliable, collaborative, and scalable—we find that container technologies like Docker are not a convenience, but a necessity for modern ML practitioners….
SoundHound AI, already a major player in voice assistants, is now giving its technology a pair of eyes. Imagine driving past a landmark and, without pulling out your phone, asking your car, “What’s that building over there?” and getting an instant answer. That’s what SoundHound AI is building. With the launch of Vision AI, SoundHound’s…