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DoomBench assesses “GPT-3 demonstrates broad few-shot learning at 175 billion parameters” as evidence moving toward doom, with magnitude 47 and confidence 90 out of 100 in the capability gains category.
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The DoomBench assessment of “GPT-3 demonstrates broad few-shot learning at 175 billion parameters” is based on reporting from arXiv and records the editorial rationale, source quality, attribution, and revision history.
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DoomBench summarizes “GPT-3 demonstrates broad few-shot learning at 175 billion parameters” as follows: OpenAI's original GPT-3 paper reported a 175-billion-parameter autoregressive language model that performed many tasks from...
https://www.doombench.com/news/gpt-3-demonstrates-broad-few-shot-learning-at-175-billion-parameters-2020-05-28