GPTBoost Documentation
  • Welcome
  • First Steps
    • Create Account
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    • OpenAI Integration
    • Azure Integration
    • Streaming
    • Analyze Logs
  • Features
    • Summary & Metrics
    • Request logs
    • Error Logs
    • Models Usage
    • Annotation Agents
    • User Feedback & Voting
      • Integration
      • The Value of User Feedback
  • Advanced
    • Proxy Overview
    • Configuration params
    • Omit Logging
    • GPTBoost Props
    • Namespaces
    • Function Usage
  • Security
    • IP Security
      • Allow Only IPs
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  • Collaborate
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  1. Features

User Feedback & Voting

Shaping Excellence with User Feedback

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Last updated 1 year ago

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In GPTBoost, we firmly believe that by actively encouraging and leveraging user feedback, you can foster a collaborative relationship with the users of your application. Collecting votes and feedback empowers users to actively participate in shaping the quality and relevance of responses generated by the Large Language Model (LLM). By offering a straightforward way to provide feedback, users contribute to the ongoing refinement and optimization of the model's performance.

A simple example can be found here at GPTBoost. Your invaluable feedback while using our Smart Search feature assists us in refining the underlying model, consistently enhancing its performance, and ultimately making the feature more useful to you.

To share the goodies, we've made sure our customers also have a straightforward way to kickstart the process in their applications. Refer to the for guidance on how to start collecting votes and feedback for each request. If you remain unconvinced about the myriad of benefits user feedback offers, take a moment to review the section.

Integration examples
The Value of User Feedback
Here's an example of GPTBoost request for feedback, implemented in the Smart Search feature.