No.

You mean as alternative to openAI?

I'm really not on board with the current hype. It is not useful for my work (webcoder), but if I've to write in business-attire I find it useful.

No, he means the new OpenAI feature that is really, really poorly named.

Ha ha, I just saw this comment now after asking this question:

Better Names for GPT / GPTs?

https://news.ycombinator.com/item?id=38251317

7-question GPT to help you decide what to build https://chat.openai.com/g/g-d2Y6GqzeB-creategpt

Not really

The only really good ones I would imagine are any one not disadvantaged by having any unique UI elements and can derive their value 100% via a simple linear arrangement of prompt responses and API calls. I feel though that even in the short time it's been out almost all the obvious good ideas have been tried.

Like you said, it's mostly influencers trying to cash in on the hype and I don't expect that to change.

> Aren't these essentially pre-configured prompts?

They also include custom knowledge and actions, and I don't think these are simply added to the prompt. But I don't think OpenAI has published how this data is fed into the model internally?

In general, I've had mostly bad experiences with models that include retrieval or external APIs. It's just too brittle because the model needs a very precise understanding to retrieve what you want, not fuzzy language. The by far best experiences is when you can put everything into the prompt.

Recently saw a Scale x OpenAI webinar that described some strategies for improving RAG systems. Looks like there are a good number of strategies to try for optimizing the retriever, like optimizing chunk sizes and classifying/ranking chunk relevance, but building a robust RAG system require rigorous experimentation against the specific dataset that feeds the retriever. Not sure how many of these GPTs bothered with this experimentation, and I think you are right that without knowing how that retrieved data is fed into the model they have very few parameters to experiment and optimize with, so they probably just can’t.

I think right now their is too many mundane things— just ppl playing around— whilst you have a few big gpts like canva etc.

It’s still nothing major.

I'm working on gptscatalog.com, a comprehensive catalog of custom GPT models.

It's all about exploring the potential of GPTs!

There is a lot of potential, but the OpenAI-provided ones are pretty rough. I asked the math tutor some questions about the relationship between sine and cosine. The answers were decent (no different than base GPT4) but when I asked to see a visualization it tried using DALLE instead of a more thoughtfully constructed matplotlib plot.

I think they have a way to go.