Have you thought about using RL in vapi? That makes vapi more effective.

I found that Vapi allows integration of custom models and fine-tuning of components like TTS to improve performance, but specific information about implementing Reinforcement Learning in Vapi is limited. Could you share more details about what specific aspects of Vapi you believe would benefit from Reinforcement Learning? This would help me provide more targeted information about implementation possibilities. Sources: - [Discord Channel](https://discord.com/channels/1211482211119796234/1335181348285054996) - [Vapi Documentation](https://docs.vapi.ai/providers/model/deepinfra) - [Discord Channel](https://discord.com/channels/1211482211119796234/1334495571897094196)

That's an interesting idea! We really appreciate your input on this. The best way to move forward would be to submit your feature request on our public roadmap board where others can vote on it too. You can find more details about submitting feature requests in our support documentation. Thanks for your suggestion! You can raise an feature request for it over here: https://roadmap.vapi.ai