This AI Paper From NVIDIA Provides The Recipe To Reproduce RETRO Up To 9.5B Parameters While Retrieving A Text Corpus With 330B Tokens

Large language models, such as masked LMs, autoregressive LMs, and encoder-decoder LMs, BART), have shown cutting-edge results for various NLP problems. Among these, autoregressive LMs like GPT3 and GPT-4 exhibit notable in-context learning capacity and great long-form text creation performance. Because of its significance, the community has made great attempts to scale up such autoregressive […]

The post This AI Paper From NVIDIA Provides The Recipe To Reproduce RETRO Up To 9.5B Parameters While Retrieving A Text Corpus With 330B …

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