美东时间上午10:06——汤森路透透露，其首款大语言模型的研发选择了一条成本效益更高的路径，即内部自主开发，而非倚仗AI领域的巨头企业。该公司并未斥资数十亿美元从零构建一个庞大的通用基础模型，转而选择在内部对开源基础模型进行精细调优。这款名为“Thomson”的LLM于周一正式面世，公司宣称已投入4000万美元，旨在“将Thomson训练成为最能胜任关键任务所需的精准智能”。汤森路透长期以来一直强调，其专有数据资源库构成了其在AI竞赛中独特的护城河，这一优势使其在AI模型时代脱颖而出。公司指出，截至目前，该模型仅使用了其内容库中不到10%的数据进行训练。
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