S&P Global case study, LLMs, human-in-the-loop distillation & more


We’ve talked to Christopher Ewen, Senior Product Manager at S&P Global Commodity Insights, about how their small team built and shipped impressively efficient information extraction pipelines for real-time commodities trading insights in a high-security environment, and how they were able to achieve a 10× speed-up of their data collection and annotation workflows to build a new dataset with LLMs and human-in-the-loop distillation.



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By stp2y

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