diff --git a/frontend/src/pages/FineTuning/Steps/Introduction/index.jsx b/frontend/src/pages/FineTuning/Steps/Introduction/index.jsx index 7b2a0b199d8..1b784d961b3 100644 --- a/frontend/src/pages/FineTuning/Steps/Introduction/index.jsx +++ b/frontend/src/pages/FineTuning/Steps/Introduction/index.jsx @@ -90,7 +90,7 @@ export default function Introduction({ setSettings, setStep }) {
In summary, if you are getting good results with RAG currently, creating a fine-tune can squeeze even more performance out - of a model. Fine-Tunes are are for improving response quality and + of a model. Fine-Tunes are for improving response quality and general responses, but they are not for knowledge recall - that is what RAG is for! Together, it is a powerful combination.