----------------------------- **While I generate an answer, here are some sources that might be helpful**: * [List Assistants]() * [Delete Assistant]() * [Web]() * [Outbound Calling]() -----------------------------

### Answer To mitigate the issue of unexpected outputs or "hallucinations" from GPT-3.5, especially when it seems to be prematurely triggering functions or misinterpreting instructions, consider refining your prompt. Discussions on a Discord forum suggest that meticulous prompt engineering can significantly reduce such occurrences. Specifically, adjusting the instructions or context provided to the model can help guide it towards the desired behavior without prematurely assuming or actioning instructions [(1)]() . Additionally, if GPT-3.5's latency or response style is not a critical concern for your use case, experimenting with GPT-4 might offer improvements in terms of reducing undesired early function triggers, as it is known to handle context and instructions more effectively. However, if sticking with GPT-3.5, fine-tuning the model with more specific examples that closely match your interaction scenarios could also yield better results. Remember, the way instructions are structured and the specificity of the context provided to the model play crucial roles in how effectively it interprets and acts upon those instructions.

Got it. Tagging @User for additional help.