Comments (1)
TheR1D
commented on May 12, 2024
1
This can happen because GPT-3 models work probabilistically, meaning that they're not always going to give you the same answer. Also, they're trained on a lot of data, so sometimes they might pick up on slightly different patterns or trends, which can affect the output they generate.
If you're looking for the most probable or accurate output, setting a lower temperature and a higher top_p value might be a good starting point. For example: sgpt --temperature 0.4 "mass of sun"
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