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cheuk-cheng avatar cheuk-cheng commented on May 29, 2024 1

Thanks Nate. I do like to give feedbacks to the A.I. after getting answers whenever I notice something does not seem right. Sometimes I may make a mistake in my follow-up queries/challenges and the A.I. will elaborate on my additional queries which I find very helpful to understand more regarding the original question and answer. I find that follow-up Q&As are important to the whole learning process instead of blindly trusting and copying/pasting generated results. I and the A.I. try to rectify identified (and agreed) mistakes. Usually I don't re-download local models again and IMHO unlike paid services such as ChatGPT, local models don't get retrained and improved, thus local models will more likely make the same mistakes in the future.

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cheuk-cheng avatar cheuk-cheng commented on May 29, 2024 1

Thanks a lot Nate. It is not an urgent feature. I think most if not all "local/offline" llama tools don't have this enhancement.

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sestinj avatar sestinj commented on May 29, 2024

This isn't something we would get to in the next few weeks, however I do believe that this type of feedback will eventually be extremely important. What I could do is create an interface to give feedback, and then we could store this data locally so that once the time comes, it can be used to help the model give better responses.

Do you find that when you get a poor response, you are typically willing to spend the time to give feedback?

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sestinj avatar sestinj commented on May 29, 2024

Very cool—this is all useful feedback, and I think it boosts our confidence that this is a good path to pursue. I'll keep this issue open until we start looking into fine-tuning, and then I'll give an update.

And if we end up adding some UI even earlier for gathering feedback I'll also share

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