I've wondered if it would be possible (and beneficial) to make LLM's deterministic via a seed. Like how PRNG can specify a seed for repeatable deterministic pseudorandom numbers.
Theoretically, if you could specify a seed and the exact version of the model the output should always be the same. I wonder if this is possible with any open-weight models today?
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On a more practical level, scripts (small programs) are deterministic so having the coding agent write (and possibly reuse) scripts might help.
Theoretically, if you could specify a seed and the exact version of the model the output should always be the same. I wonder if this is possible with any open-weight models today?
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On a more practical level, scripts (small programs) are deterministic so having the coding agent write (and possibly reuse) scripts might help.