3 ms·
The problem is the use case is where you don't care about the risk of hallucinations or you can validate the output without already having the data in a useful
by greenthrow 2y ago
The problem is the use case is where you don't care about the risk of hallucinations or you can validate the output without already having the data in a useful format. Plus you need to lack the knowledge/skill to do it more quickly using awk/python/perl/whatever.
- worldsayshi 2y agoThat's why having good test suites and tools are more important than ever.
- j_maffe 2y agoI think text transformation is a sufficiently predictable task that one could make a transformer that completely avoids hallucinations. Most LLMs have high temperatures which introduces randomness and therefore hallucinations into the result.