Distribution-aware speculative decoding (DAS) is a novel framework that significantly alleviates the rollout bottleneck in RL post-training — delivering up to 50% speedup without touching model outputs. The rollout bottleneck…
The first Gemma model launched early last year and has since grown into a thriving Gemmaverse of over 160 million collective downloads. This ecosystem includes our family of over a…
Inkling is a large (1T params!) open model to natively accept image, text, and audio inputs. TLDR; Inkling by Thinking Machines is out on Hugging Face. Inkling is a huge…
The test ran 200 cases across 16 models and compared them against a panel of radiologists. Human experts scored 988.7 out of a possible 2,000 points. The best AI model…
NVIDIA Nemotron™ 3 Nano Omni is now available on the Together AI platform. Representing a meaningful step forward for multimodal AI, Nemotron 3 Nano Omni is a single, open model that…
Healthcare is increasingly embracing AI to improve workflow management, patient communication, and diagnostic and treatment support. It’s critical that these AI-based systems are not only high-performing, but also efficient and…
Existing benchmarks suggest voice AI is nearing human-level performance but real-world conversations tell a different story. Voice is rapidly becoming AI’s primary interface. From customer support and healthcare to education,…
The British AI Security Institute (AISI) has, for the first time, publicly assessed how far leading open-weight AI models lag behind top proprietary systems in cyber capabilities. According to AISI,…
Long-context reasoning changes what teams can ask a model to do. Entire repositories, large document sets, long agent traces, and tool outputs can fit into the model’s working context instead…
In the rapidly evolving landscape of large language models (LLMs), the spotlight has largely focused on the decoder-only architecture. While these models have shown impressive capabilities across a wide range…
