VentureBeat

Arcee's U.S.-made, open source Trinity Large and 10T-checkpoint offer rare look at raw model intelligence

San Francisco-based AI lab Arcee made waves last year for being one of the only U.S. companies to train large language models (LLMs) from scratch and release them under open or partially open source ...

Nvidia's Nemotron-Cascade 2 wins math and coding gold medals with 3B active parameters — and its post-training recipe is now open-source

Nvidia's Nemotron-Cascade 2 is a 30B MoE model that activates only 3B parameters at inference time, yet achieved gold ...
Unite.AI

Verbosity Decreases Accuracy in Large Language Models

New research finds that forcing Large Language Models to give shorter answers notably improves the accuracy and quality of ...
Fast Company

Are LTMs the next LLMs? This new type of AI can do what large-language models can’t

Large-language models (LLMs) have taken the world by storm, but they’re only one type of underlying AI model. An under-the-radar company, Fundamental, is set to bring a new type of enterprise AI model ...
The American Journal of Managed Care

Health Equity in the Era of Large Language Models

This article presents challenges and solutions regarding health care–focused large language models (LLMs) and summarizes key recommendations from major regulatory and governance bodies for LLM ...
TweakTown

The iPhone 17 Pro can run a 400B parameter Large Language Model on-device by streaming weights from the SSD

While the speed remains impractical for daily use, this proof of concept demonstrates how new inference engines are ...