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message-botHow temperature and level of contextualization work in ChatGPT

SprintHub offers advanced settings for ChatGPT, allowing you to customize the model's interaction with customers by adjusting the "Temperature" and the "Level of Contextualization." Understanding how these settings work is essential to optimize the quality of generated responses.

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What is Temperature?

Temperature defines the degree of creativity and randomness of the responses provided by ChatGPT. This setting is adjusted by a value that ranges from 0 to 1, where:

  • Low temperature (close to 0): The model will be more conservative, giving more direct, objective, and consistent answers. Ideal for cases where accuracy is more important than creativity.

  • High temperature (close to 1): The model will be more creative and provide more varied responses. It is useful for cases where you want to explore ideas or offer more relaxed interactions.

Practical example:

  • Question: "What can I do with the rice leftover from lunch?"

    • Temperature 0: "You can make fried rice."

    • Temperature 1: "How about making a rice cake or even a creative risotto with vegetables?"

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What is the Level of Contextualization?

The level of contextualization determines the amount of information about the company and the customer that ChatGPT uses to generate responses during conversations. At SprintHub, you can select between low, medium and high.

  • Low Level: ChatGPT will use fewer contextual details. Responses will be more generic, with reduced token cost.

  • Medium Level: Offers a balance between contextual information and token cost.

  • High Level: ChatGPT will have access to more details about the company and the customer, providing more personalized and relevant responses. However, this increases token consumption and may impact response time.

Advantage of high level: Allows ChatGPT to understand information such as company policies, offered products, and customer preferences, resulting in more satisfying interactions.

Note: A "token" is a unit of text used by the model to process input and generate responses. For example, the word "chatbot" equals one token.

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How to Choose the Best Configuration?

The choice of temperature and level of contextualization depends on the goal of the interaction. Here are some recommendations:

  • High Temperature + Medium/High Level of Contextualization: Ideal for creative campaigns or more human interactions, such as marketing or general support.

  • Low Temperature + Low/Medium Level of Contextualization: Recommended for FAQs or processes where accuracy and consistency are essential, such as technical support.

  • High Temperature + Low Level of Contextualization: Useful for brainstorming or exploring ideas without many contextual constraints.

  • Low Temperature + High Level of Contextualization: Excellent for personalized interactions that require precision based on specific customer data.

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Final Considerations

Temperature and the level of contextualization are powerful tools to shape the interaction between ChatGPT and users. Experiment with different settings and analyze the results to find the ideal balance for your use case.

At SprintHub, these options are available in the model settings, allowing you to adapt the artificial intelligence to the specific needs of your business.

If you have questions or want more practical examples, contact our support.

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