#Why is fine tuning not working?
9 messages · Page 1 of 1 (latest)
If you want to add information to the model you'll want to use embeddings and semantic search. Fine tuning is used to change how it structures output
The embeddings use the ada model which is the least powerful one. I am wondering whether the semantic search is limited to single words.
text-embedding-ada-002 is unrelated to the ada completion model. It's the strongest model they have for embeddings. Its capable of search within large chunks of text
finetuning is only available on the base models, you can list models and it shows under each one if it is fine tunable or not, all the cool ones are not.