Comments
Ok_Dependent1131 t1_ivicssn wrote
I think what you’re looking for is a chat bot. Tons of off the shelf solutions and tutorials if you want to DIY
Wooden-Fly-8661 t1_ivigp4i wrote
I would definitely save the data. The best chatbots are a mix of handcrafted rules and fine tuned classifiers.
TheDeviousPanda t1_ivj5gk6 wrote
Before you go fine tuning LLMs on your conversations I would check any privacy policy in the communications you are using. Using the other party’s messages for an LLM that will be exposed to other people opens you up to some risk.
realdevtest t1_ivjfkic wrote
Never mind automating with ML, have you tried just saving templates that you can manually copy/paste?
KPTN25 t1_ivjgqay wrote
Was going to say this. I have some experience in this area from industry and theres still a lot of handcrafted business rules that go into chatbot development.
KPTN25 t1_ivjgw5l wrote
This is also where I'd start.
You can set up outlook rules to sort inbound requests into different folders or tag them by keyword, too. Id still recommend doing that final step of copying in the appropriate response manually though.
Salubriously_Moist OP t1_ivkjwqi wrote
Thanks for the reply, and great to hear this affirmed by you two. I put a lot of thought into my responses, and my gut tells me that throwing out that data would be a waste.
For example, my current messaging platform does have automated responses and very basic AI-generated responses... both of which are almost never actually useful in a real-world conversation, in spite of putting in a number of hours to set up those 'automated' responses. I believe that is, in part, due to the fact that the AI is not 'learning' from my existing and new conversations.
EmergencyAd3945 t1_ivi82zx wrote
https://harishgarg.com/writing/how-to-fine-tune-gpt-3-api/