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The Importance of Scaling in AI
Researchers at Stanford took an existing model by meta and then they fine tuned it to follow instructions. This was met with a fair amount of excitement in the AI circles especially the academia circles. The basic story here is researchers atStanford took anexisting model by meta and then they fine tuning it to following instructions to make it similar in performance to a GPT-3 or one of the more advanced versions of GPT-2.