While the generation is fun and even suitable for some use cases, I'm particularly interested in its ability to take in language and use it for downstream tasks.
A good example is DALL-E[0]. Now, what's interesting to me is the emerging idea of "prompt engineering" where once you spend long enough with a model, you're able to ask it for some pretty specific results.
This gives us a foothold in creating interfaces whereby you can query things using natural language. It's not going to replace things like SQL tomorrow (or maybe ever?) but it certainly is promising.
A good example is DALL-E[0]. Now, what's interesting to me is the emerging idea of "prompt engineering" where once you spend long enough with a model, you're able to ask it for some pretty specific results.
This gives us a foothold in creating interfaces whereby you can query things using natural language. It's not going to replace things like SQL tomorrow (or maybe ever?) but it certainly is promising.
[0] https://openai.com/blog/dall-e/