4 ms·
Speculating How about a chat interface, where you correct the result and provide more contextual information about those columns? Those chats could be later f
by eurekin 3y ago
Speculating
How about a chat interface, where you correct the result and provide more contextual information about those columns?
Those chats could be later fed back to the model and ran a DPO optimisation on top
- lmeyerov 3y agoAgreed. Agent reasoning systems should learn based on past and future use, and both end users and maintainers should have power in how they work. So projects naturally progress on adding guard rails, heuristics, policies, customization, etc. Likewise, they first do it with simple hardcoding and then swapping in learning. As we have built out Louie.ai with these kinds of things, I've appreciated ChatGPT as its own innovation separate from the underlying LLM. There is a lot going on behind the scenes. They do it in a very consumer/prosumer setting where they hide almost everything. Technical and business users need more in our experience, and even that is a coarse brush...
- deleted 3y ago[deleted]