Thomson Reuters Launches Its Own Frontier Model
Thomson Reuters announced the launch of its own frontier AI model, built on 175 years of proprietary data. The model is designed to deliver trusted, professional-grade AI for legal, tax, and risk professionals, integrating with products like Westlaw and CoCounsel. This move positions the company as a major player in the AI race, leveraging its unique data assets to compete with tech giants.
Trusted AI built on 175 years of Thomson Reuters knowledge.
- cootsnuck
This is going to increasingly happen over the years to come. Big organizations will become more sophisticated with operationalizing their data, training and running LLMs will continue to be demystified and accessible, and over time we'll get more and more specialized / industry-specific models.
It's going to become another way to monetize your informational assets if you're a big older enterprise with troves of data. All you need is time to figure out how to make it useful for yourself and then eventually sell access to it however you want.
Think of all the data that big orgs have that isn't accessible to all the AI labs to suck up.
- scirob
Maybe it's my dyslexic brain but "it's own frontier model" in my head converted to foundational model that was trained from scratch.
But this is qwen based.
But w/e I'm pro AI so more companies having more people with skills for more post training is cool
- johnnypangs
Here is some more technical information on how this was trained, as well as a download link.
https://huggingface.co/thomsonreuters/Thomson-1.0-Small
(Full disclosure I’m a TR employee, although I had nothing to do with making this)
- x313
Pretty cool someone is still doing this. Training in house LLMs was extremely popular in 2023-2024, back when domain-specific LLMs could easily top GPT in their field. In my field alone (tax/HR tech) I remember that Intuit, Workday, Indeed, LinkedIn were all training internal models.
It eventually stopped making sense because of inference costs. Running something internal with 30% GPU utilization is just too cost inefficient compared to using an API. Idk how Reuters will manage to solve this fundamental problem.
- Arcuru
> starting from a strong open-source foundation and investing $40 million to train Thomson
Sounds like they spent $40 million finetuning an open weight model on their own data? I wonder what they built on.