kaveenk

Thank you! You’re correct that ChatGPT is different from davinci. They’re both built on GPT3.5, but ChatGPT is trained on more conversational influences. However, davinci is really strong and will behave mostly like ChatGPT with the right conversation prompt :)

Exactly! This is also what I’ll be implementing within the next few days. Embedding conversation history and dynamically doing semantic search for relevant conversation snippets and building a prompt based on that to send to GPT3

Hey! This is an option in the settings. You can type !gp to view settings and !gs to change them. For your case, !gs summarize_conversations True !gs summarize_threshold (token amount to summarize at)

Thank you for bringing this up because this is something I need to change in the README. You’re correct in presuming that it’s just because it’s simpler to tell users to use a password, but this is not the right way to approach this.

Thank you! I agree re: token usage, it will get expensive with extensive use. The image prompt optimizer pre-text itself is also roughly 3500+ tokens, and if you use best_of=2 for example, it’ll basically be like 20 cents per image optimization request. However, I love the optimizer and I think it works amazing, for DALLE, MJ, and SD!

None that I’ve made, but I think there are several slack integrations out there, I see a lot on the OpenAI community server :)

Yup! Behind the scenes I send AIOHTTP requests to the various OpenAI endpoints.

Thank you!

So I actually have it set to use both the text-davinci-003 and text-curie-001 models. If you’re on low usage mode, that’s when the curie model will be used :)