OpenAI's latest research demonstrates how large language models can automate training data labeling for entity matching, reducing manual effort by 99% and slashing costs. This breakthrough enables faster, cheaper AI deployment for businesses.
A new arXiv study shows OpenEvidence's specialized clinical tool beats top general‑purpose models (Claude Opus 4.8, Gemini 3.1 Pro, GPT‑5.5) on 620 real‑world point‑of‑care questions. Physicians across 30 specialties rated the specialized tool higher on accuracy, utility, source quality, verifiability and completeness.
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