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#82 - Dr. JOSCHA BACH - Digital Physics, DL and Consciousness [UNPLUGGED]
Machine Learning Street Talk (MLST)
The Performance of Large Language Models for Arithmetic Tasks
The performance of large language models for arithmetic tasks are linearly correlated to the term frequency and the training corpus, suggesting that they are memorizing the data set. Google has recently released this 540 billion parameter language model called Palm which interestingly does extremely well on some of the Google Big Bench tasks. But I still think there's plenty of opportunities for shortcut learning, you know, given the brittle interface of an autoregressive GPT-style language model with these human-designed benchmarks.
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