emilypyqai

(great article too btw)

Yeah super fair, agreed that general-purpose handling will rarely (if ever) beat a specifically dedicated team - anything specific and critical will still require custom work. That being said, we think that there are some straightforward applications that can be annoying to solve and are reasonably generalizable.

we are HUGELY grateful for those companies - would've taken us so much longer to get off the ground without them

Ooh yes that would be really cool - we experimented a bit with code generation, but found that it was a bit unreliable and fiddly since it required such precise prompting. Certainly something we'd like to expand into in the future, though

Agreed that the OpenAI API is pretty easy to use. But to have a model perform a specific task involves more than just calling the API - you have to manage prompts, finite context windows, and integrations with other APIs.

We use GPT under the hood for our website summarizer for example, which involved connecting the OpenAI API to a web scraper and then handling cases where the website had more text than GPT can handle. Finally we also experimented with a bunch of prompts to make sure that it responds based on the user's needs.

We are fairly similar, but we provide model hosting, and also are focused on a more narrow band of AI tasks, including image generation for blogs, stock photos, and events.