4 ms·
That’s quite the system that can take in any natural language statement and confirm whether its true or false. You might be underestimating the scope of some t
by swatcoder 4y ago
That’s quite the system that can take in any natural language statement and confirm whether its true or false.
You might be underestimating the scope of some task here.
- mortehu 4y agoNot true or false; just present or absent in the reference data. Note that false negatives will not result in erroneous output, so the model can safely err on the side of caution. Also 100% accuracy is probably not the real threshold for being useful. There are many low hanging fruits today that could be solved by absolutely tiny error correcting models (e.g. arithmetic and rhyming).
- astrange 4y agoThere's research showing you can tell if something is a hallucination or memorized fact based on the activation patterns inside the LM.