Thomson Reuters built its own AI model on Alibaba's Qwen

Thomson Reuters built its own AI model on Alibaba's Qwen

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 […] This story continues at The Next Web

TR Launches Thomson 1.0 – Its Own LLM

After months of work, TR has launched Thomson 1.0, its own LLM, trained on its own data – and it shows a performance that is higher than some general models. Artificial Lawyer interviewed TR CEO, S…

Thomson Reuters Launches Thomson, Its Own Proprietary LLM Trained on Westlaw and Practical Law Content

It certainly has been no secret that Thomson Reuters has been building its own proprietary large language model. In fact, in my June interview with TR’s CEO Steve Hasker, he talked openly about it, and just a few weeks ago, I reported on TR’s release of preliminary benchmarking data that showed impressive results comparable to […]

Thomson Reuters Leverages its World-Class Data Assets to Launch Its Own Frontier Model