Identifying the Core Issue
Initially, we believed the issue was linked to temperature. We thought that lowering it would minimize randomness and hallucinations. However, this was not the case. A lower temperature led to more consistent outputs, but they weren't necessarily accurate; the model just became more confident in its incorrect answers.
Identifying the Core Issue
Initially, we believed the issue was linked to temperature. We thought that lowering it would minimize randomness and hallucinations. However, this was not the case. A lower temperature led to more consistent outputs, but they weren't necessarily accurate; the model just became more confident in its incorrect answers.
Initially, we believed the issue was linked to temperature. We thought that lowering it would minimize randomness and hallucinations. However, this was not the case. A lower temperature led to more consistent outputs, but they weren't necessarily accurate; the model just became more confident in its incorrect answers.