4 ms·
A lot of it is based on what you’re aiming to generalize. Typically for data that is fairly “conceptual” I find a DPR type solution to be better for most people
by jawerty 3y ago
A lot of it is based on what you’re aiming to generalize. Typically for data that is fairly “conceptual” I find a DPR type solution to be better for most people with a similarity search. But if you want to generalize on style/data extraction/basic pattern matching fine tuning is incredible. I talk through some of these concepts on a fine tuning llama 2 live stream I did a couple months ago https://www.youtube.com/live/TYgtG2Th6fI?si=7VVv0Qooe2o1wuzD https://www.youtube.com/live/TYgtG2Th6fI?si=7VVv0Qooe2o1wuzD