Research Explainer · XiaoHu Explains

Bridgewater trained a model just for triaging financial information — 84.7% accuracy, methodology public

Partnered with Thinking Machines, fine-tuned an open-source model on expert-labeled data: 29.8% lower error rate than the best frontier model, at 1/14th the inference cost
⚑ Editorial note: this piece is based on an official blog post jointly published by Thinking Machines Lab and Bridgewater's AIA Labs. All models, data, and comparison results are self-reported by the publishers, based on a public subset of their internal data. Figures below are relayed as stated in the original.
1What an investment manager judges in a glance, AI can only guess

News an investment manager judges in a second — AI can only guess

Thinking Machines Lab and Bridgewater's AIA Labs jointly published a post detailing how they used the in-house fine-tuning platform Tinker to train a financial information triage model, along with the results.

Primary source and reference