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-device foundation models on the market using the new "liquid" architecture, with training and inference efficiency that made small models a serious alternative to cloud-only large language models (LLMs) such as OpenAI's GPT series and Google's Gemini.

The initial release shipped dense checkpoints at 350M, 700M, and 1.2B parameters, a hybri [...]

Rating

Innovation

Pricing

Technology

Usability

We have discovered similar tools to what you are looking for. Check out our suggestions for similar AI tools.

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: 153.85

venturebeat

2025-11-12

Baidu just dropped an open-source multimodal AI that it claims beats GPT-5 and Gemini

Baidu Inc., China's largest search engine company, released a new artificial intelligence model on Monday that its developers claim outperforms competitors from Google and OpenAI on several visio [...]

Match Score: 107.79

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: 101.36

venturebeat

2025-10-01

GitHub leads the enterprise, Claude leads the pack—Cursor’s speed can’t close

In the race to deploy generative AI for coding, the fastest tools are not winning enterprise deals. A new VentureBeat analysis, combining a comprehensive survey of 86 engineering teams with our own ha [...]

Match Score: 91.81

venturebeat

2025-11-17

Phi-4 proves that a 'data-first' SFT methodology is the new differentiator

AI engineers often chase performance by scaling up LLM parameters and data, but the trend toward smaller, more efficient, and better-focused models has accelerated. The Phi-4 fine-tuning methodology [...]

Match Score: 82.37

venturebeat

2025-10-27

Google Cloud takes aim at CoreWeave and AWS with managed Slurm for enterprise-scale AI training

Some enterprises are best served by fine-tuning large models to their needs, but a number of companies plan to build their own models, a project that would require access to GPUs. Google Cloud wants [...]

Match Score: 81.95

Destination

2025-11-09

How to adjust the Liquid Glass effect in iOS 26.1

Apple's latest iterative update for iPhones brings a welcome change for those who aren't a fan of its Liquid Glass design overhaul. After user complaints that the Liquid Glass' transluc [...]

Match Score: 78.32

venturebeat

2025-10-09

Nvidia researchers boost LLMs reasoning skills by getting them to 'think' during pre-training

Researchers at Nvidia have developed a new technique that flips the script on how large language models (LLMs) learn to reason. The method, called reinforcement learning pre-training (RLP), integrates [...]

Match Score: 78.10

Destination

2025-09-29

You can now install iOS 26 on your iPhone: Everything to know about the free software update

Have you played around with the new iOS 26 yet? Here's how to download it on your iPhone if you haven't yet — once you do, you'll notice several new changes, including a clear design [...]

Match Score: 78.04