3 ms·
Then you need to go over each item with just as much care as you would any probably-irrelevant item pulled from a keyword search, because the LLM is incapable o
by dsr_ 2y ago
Then you need to go over each item with just as much care as you would any probably-irrelevant item pulled from a keyword search, because the LLM is incapable of evaluating it in any way other than correlation.
Also, you don't necessarily have a real dataset to begin with: prior art doesn't need to be patented, it just needs to be published/public/invented sufficiently before the patent. Searching the existing patent database is insufficient.
- deleted 2y ago[deleted]
- jncfhnb 2y agoGoing over a better curated list is a significant upgrade and time saver. Let’s not pretend that “correlation” isn’t very powerful
- toomuchtodo 2y ago> Also, you don't necessarily have a real dataset to begin with: prior art doesn't need to be patented, it just needs to be published/public/invented sufficiently before the patent. Searching the existing patent database is insufficient. I would caution against making assumptions with regards to dataset access and size. I agree effectiveness of the effort I mention would be a function of not only gen AI engineering, but also dataset size and scope.