I use pretrained BERT models that I don’t have the resources to train myself. I don’t have problems paying a very small fee to run OpenAI’s models as an API that can do things like:
I just tried a random question:
cl-user> (openai:answer-question "What rivers flow in Arizona?" 60) "The Colorado, the Gila, the Little Colorado, the Salt, the Verde, the San Pedro, the Santa Cruz, the San Juan, the Little Colorado, the Rio Grande, the Gila, the San Pedro, the Santa Cruz, the San Juan, the Little Colorado"
Not bad, but I think it missed a few. The OpenAI model can do a lot more things besides just answering questions:
1. Given a list of food ingredients, write a complete recipe including directions
2. Summarize text
3. Grammer correction
4. Translate languages (limited to English to French for now)
5. Answer any general question (I have an example below)
6. Write an advertisement from a product description
7. It is used at GitHub to build a service that writes software, given an English description of the problem
8. Generate spreadsheet data from data descriptions in English text
9. Write short stories, given a starter paragraph.
10. etc.
There's a lot of stuff you can do. But what they don't let you do is easily clone the report, throw a few million in compute and repackage what they had built. I think it's a reasonable restriction.
Is that not a valid thing for a project called "Open" Pilot?
"Bullshit ability as an honest signal of intelligence."
https://journals.sagepub.com/doi/full/10.1177/14747049211000...
/lol
so unless someone tells me this repo provides no bootstrap training data, this is more a choosy beggar.