Thomson Reuters launched its first proprietary large language model on Monday. The company calls it Thomson. It says it spent $40mn on talent and compute to train the model, and that it began from what its announcement describes as “a strong open-source foundation”.
The announcement does not say which foundation. Its chief technology officer named it in an interview.
What the company says it spent
Thomson Reuters trades in Toronto and on the Nasdaq as TRI. It sells legal, tax, accounting and compliance products, and it owns Reuters. The announcement puts the training bill at $40mn, covering talent and compute.
It sets that against the frontier labs. Those labs have “typically spent billions of dollars on compute and years of infrastructure investment to reach the frontier”, the company says. It describes the result as a model it controls outright, “without the heavy inference costs of typical frontier models”.
