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AI Parameters

You can change the AI engine parameters of the chatbot.

The following table provides an overview of the parameters that are used by the chatbot.

ParameterDescriptionDefault ValueRange
ModelThe AI engine used by the chatbot.gpt-3.5-turbo
TemperatureControls the randomness. Higher values mean more randomness.0.70-1
Max TokensMaximum number of tokens to generate.7001-1400
Top PControls the diversity. Lower values mean more predictability.1.00-1
Best OfNumber of different completions to return.11-20
Frequency PenaltyControls the frequency. Lower values mean more frequency.0.010-2
Presence PenaltyControls the presence. Lower values mean more presence.0.010-2

You can learn more about each of these parameters in the AI Engine section.

Here are the steps to adjust the AI parameters of your chatbot:

  • Navigate to the ChatGPT - Shortcode tab in your dashboard.
  • Click on the Settings tab.
  • Adjust the settings as necessary:
    • Model: Select the AI engine used by the chatbot. The default is gpt-3.5-turbo.
    • Temperature: Adjust the randomness. Higher values mean more randomness. The default is 0.7, and it can be set between 0 and 1.
    • Max Tokens: Set the maximum number of tokens to generate. The default is 700, and it can be set between 1 and 1400.
    • Top P: Control the diversity. Lower values mean more predictability. The default is 1.0, and it can be set between 0 and 1.
    • Best Of: Set the number of different completions to return. The default is 1, and it can be set between 1 and 20.
    • Frequency Penalty: Control the frequency. Lower values mean more frequency. The default is 0.01, and it can be set between 0 and 2.
    • Presence Penalty: Control the presence. Lower values mean more presence. The default is 0.01, and it can be set between 0 and 2.
  • After adjusting the settings, click on the Save button to apply the changes.

Remember, the adjustments made to these parameters will directly influence the performance and response behavior of your chatbot. It is recommended to test different configurations to find what works best for your use case.