Doc ways to improve reproducability besides Temp (#532)

Author: carsonkahn-external

README.md

@@ -757,8 +757,9 @@ Even when specifying a temperature field of 0, it doesn't guarantee that you'll
 Due to the factors mentioned above, different answers may be returned even for the same question.
 
 **Workarounds:**
-1. Using `math.SmallestNonzeroFloat32`: By specifying `math.SmallestNonzeroFloat32` in the temperature field instead of 0, you can mimic the behavior of setting it to 0.
-2. Limiting Token Count: By limiting the number of tokens in the input and output and especially avoiding large requests close to 32k tokens, you can reduce the risk of non-deterministic behavior.
+1. As of November 2023, use [the new `seed` parameter](https://platform.openai.com/docs/guides/text-generation/reproducible-outputs) in conjunction with the `system_fingerprint` response field, alongside Temperature management.
+2. Try using `math.SmallestNonzeroFloat32`: By specifying `math.SmallestNonzeroFloat32` in the temperature field instead of 0, you can mimic the behavior of setting it to 0.
+3. Limiting Token Count: By limiting the number of tokens in the input and output and especially avoiding large requests close to 32k tokens, you can reduce the risk of non-deterministic behavior.
 
 By adopting these strategies, you can expect more consistent results.