venturebeat

2025-12-15

Bolmo’s architecture unlocks efficient byte‑level LM training without sacrificing quality

Enterprises that want tokenizer-free multilingual models are increasingly turning to byte-level language models to reduce brittleness in noisy or low-resource text. To tap into that niche — and make it practical at scale — the Allen Institute of AI (Ai2) introduced Bolmo, a new family of models that leverage its Olmo 3 models by “bytefiying” them and reusing their backbone and capabilities.

The company launched two versions, Bolmo 7B and Bolmo 1B, which are “the first fully open byte-level language model,” according to Ai2. The company said the two models performed competitively with — and in [...]

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venturebeat

2025-11-10

Baseten takes on hyperscalers with new AI training platform that lets you own your model weights

Baseten, the AI infrastructure company recently valued at $2.15 billion, is making its most significant product pivot yet: a full-scale push into model training that could reshape how enterprises wean [...]

Match Score: 131.29

venturebeat

2025-11-04

Attention ISN'T all you need?! New Qwen3 variant Brumby-14B-Base leverages Power Retention technique

When the transformer architecture was introduced in 2017 in the now seminal Google paper "Attention Is All You Need," it became an instant cornerstone of modern artificial intelligence. Ever [...]

Match Score: 92.08

venturebeat

2025-12-01

MIT offshoot Liquid AI releases blueprint for enterprise-grade small-model training

When Liquid AI, a startup founded by MIT computer scientists back in 2023, introduced its Liquid Foundation Models series 2 (LFM2) in July 2025, the pitch was straightforward: deliver the fastest on-d [...]

Match Score: 76.35

venturebeat

2025-12-02

Arcee aims to reboot U.S. open source AI with new Trinity models released under Apache 2.0

For much of 2025, the frontier of open-weight language models has been defined not in Silicon Valley or New York City, but in Beijing and Hangzhou.Chinese research labs including Alibaba's Qwen, [...]

Match Score: 71.47

venturebeat

2025-12-17

AI agents fail 63% of the time on complex tasks. Patronus AI says its new 'living' training worlds can fix that.

Patronus AI, the artificial intelligence evaluation startup backed by $20 million from investors including Lightspeed Venture Partners and Datadog, unveiled a new training architecture Tuesday that it [...]

Match Score: 66.71

venturebeat

2025-11-19

Meta’s DreamGym framework trains AI agents in a simulated world to cut reinforcement learning costs

Researchers at Meta, the University of Chicago, and UC Berkeley have developed a new framework that addresses the high costs, infrastructure complexity, and unreliable feedback associated with using r [...]

Match Score: 65.81

venturebeat

2025-10-29

Nvidia researchers unlock 4-bit LLM training that matches 8-bit performance

Researchers at Nvidia have developed a novel approach to train large language models (LLMs) in 4-bit quantized format while maintaining their stability and accuracy at the level of high-precision mode [...]

Match Score: 63.31

venturebeat

2025-11-21

Google’s ‘Nested Learning’ paradigm could solve AI's memory and continual learning problem

Researchers at Google have developed a new AI paradigm aimed at solving one of the biggest limitations in today’s large language models: their inability to learn or update their knowledge after trai [...]

Match Score: 62.99

venturebeat

2025-12-15

Nvidia debuts Nemotron 3 with hybrid MoE and Mamba-Transformer to drive efficient agentic AI

Nvidia launched the new version of its frontier models, Nemotron 3, by leaning in on a model architecture that the world’s most valuable company said offers more accuracy and reliability for agents. [...]

Match Score: 61.76