Sean G.

this is similar to what I am trying to do (I also work for a drone company) but instead of drone collected assets, I am trying build a KG of the data in our platform that is used by our apps for awareness (so geospatial airspace polygons, the raw shape info, the etl , the logs, the jir/gihtub ticket, cloud storage, flight related to them, telemetry collected in them, etc) Thanks for sharing François S. I think Kespy is one of our users!

Like Mike said, there is a difference between the two in that there is no NLG (at least as stated in the article) but the inclusion of a KG shows how it reaches beyond the capabilities of GPT-3. While GPT-3 is impressive, I feel there is a lot of hype and that it is really just regurgitates the massive information that has been fed into it without having an understanding of it. This quote from the article stood out to me:

Language models like GPT-3 are amazing mimics, but they have little sense of what they're actually saying. "They're really good at generating stories about unicorns," says Mike Tung, CEO of Stanford startup Diffbot. "But they're not trained to be factual." 

will have to catch the next one