Earlier quoted context omitted.
What's also scary is that we know LLMs do fail, but nobody (even the people who wrote the LLM) can tell you how often it will fail at any particular task. Not even an order of magnitude. Will it fail 0.2%, 2%, or 20% of the time? Nobody knows! A computer that will randomly produce an incorrect result to my calculation is useless to me because now I have to separately validate the correctness of every result. If I nee…
> What's also scary is that we know LLMs do fail, but nobody (even the people who wrote the LLM) can tell you how often it will fail at any particular task. Not even an order of magnitude. Will it fail 0.2%, 2%, or 20% of the time? Benchmarks could track that too - I don't know if they do, but that information should actually be available and easy to get. When models are scored on e.g. "pass10", i.e. pass the challen…
A good example that I use frequently is a reverse dictionary.
It's also useful for suggesting edits to text that I have written. It's easy for me to read its suggestions and accept/reject them.