Fine Tuning misconception
TL;DR - Fine tuning is not long term memory.
This might not come as a surprise for many but I learned this recently and it felt like a silly misconception I had.
This is how I discovered...
I was reading the book The Courage to be Disliked (see highlights from it). The format, which is like a conversation between a Philosopher and a person in their youth, felt good. It feels like we are talking to the Philosopher.
However, we could not ask questions or followups.
So I built Philosopher Chat which lets us talk to and extend conversations with the Philosopher.
I took the full text of the book, converted the conversations in it to JSON format, and fine tuned
gpt-3.5-turbo on that.
Results were not as I expected.
It sure mimicked the style of the Philosopher, but not his memory.
For that, I had to add embeddings, which lets me search for previously had similar conversations, and provide that as context for the AI to reply.
Now, it works fairly well.
Why don't you give it a try? For starters, ask "How can one be happy". 😉