Would be cool to know some technical details, like are you fine-tuning GPT-3 on Open AI or built something yourself on top of an open source pretrained model?
Hey there, you're welcome to our Discord server: https://discord.gg/kMpbueJMtQ - we do share some technical details there and we also share our daily progress in our #updates channel. Have you heard of LangChain ?
First time I hear about it, but just checked it out - seems pretty cool, but you still need to feed some model into it right? Many examples seem to use OpenAI.
I see a bunch of apps using LLMs popping out like mushrooms in a forest, but how do you fine-tune it for your dataset? The biggest (GPT-3 davinci) model on OpenAI is not available for fine-tuning.
And I am saying that was never the intended purpose of this product from what I read. That was my whole point in my OP. I agree that there are unique issues with products like these but its not alone, at the end of the day you should not be feeding sensitive data to third party applications like this. Edit: This whole thread is goofy. It is the equivalent as saying what if you published your entire internal emails on…
please see my comment in this threads. We 're ONLY learning from your knowledge base and not from your slack chat history.
Yup, thats what I was trying to say from the beginning and why I was so confused with all the concerns.
Interesting product, but it has no pricing information anywhere.
thanks for your comment! Yep, we'd like to define it during our customer discovery, after we gather a lot of feedbacks, crystalize our understanding of the features users like and ask us to add. Maybe you'd be so kind to say how much this kind of products should cost from your POV ?
Hey there, you're welcome to our Discord server: https://discord.gg/kMpbueJMtQ - we do share some technical details there and we also share our daily progress in our #updates channel. Have you heard of LangChain ?
First time I hear about it, but just checked it out - seems pretty cool, but you still need to feed some model into it right? Many examples seem to use OpenAI. I see a bunch of apps using LLMs popping out like mushrooms in a forest, but how do you fine-tune it for your dataset? The biggest (GPT-3 davinci) model on OpenAI is not available for fine-tuning.
thanks! We tried to do is as simple as possible from the users perspective. You just upload your knowledge base, create a Slack / Discord or other bot and start using it. And sure, we use OpenAI too. Yes, your're right - we use Davince model and then use use LangChain and other approaches that we're exploring to compare performance of different approaches. Have you heard about LangChain?
We use AWS for both servers and storage.. How secure would you call AWS ?
Is my slack stored in plain text on your AWS server?
we don't store conversations at all for the moment. I mentioned that in previous comments too. That's something some people ask, but we don't have 'conversation memory' for the moment))