3 ms·
"Garbage in-garbage out", meet "Quantity has a quality of its own". LLMs are trained on a huge amount of text, this tends to compensate for garbage in. Of cour
by visarga 3y ago
"Garbage in-garbage out", meet "Quantity has a quality of its own".
LLMs are trained on a huge amount of text, this tends to compensate for garbage in. Of course if the model was not properly tested and fine-tuned, a LLM would happily execute any command.
- dylan604 3y agoDoes it? Or does it just show that even in those quantities, there’s a preponderance of garbage? If it is sourcing places like Twitter, Reddit, and what not, then there’s most definitely a lot of garbage present.