What if you prompt an alternative description of fizzbuzz with a rules twist? Does it generate classic fizzbuzz or does it adapt?
Yes, you can do this. The data for a task is a big json string, so no further work is necessary. Prime it with a few tasks and test it on a new one. IMO best case would be that it generates the correct ARC task format syntax. No hope for content correctness
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@fchollet What about the knowledge priors underlying the ARC data set? These seem like they could have been trained using the web data. So, probing for these could be worthwhile. Then design prompts that connect encoded data sets and priors?Thanks. Twitter will use this to make your timeline better. UndoUndo
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