Content pfp
Content
@
0 reply
0 recast
0 reaction

casslin.eth pfp
casslin.eth
@casslineth
the future is multi-model + multi agent feedback loop
1 reply
0 recast
4 reactions

wizard not parzival pfp
wizard not parzival
@alexpaden
rlhf? not sure i understand how new knowledge is gained vs normalized
1 reply
0 recast
0 reaction

casslin.eth pfp
casslin.eth
@casslineth
Multi-agent systems create new knowledge through active problem-solving and verification between specialized AIs/models - imagine a team of experts building on each other's work in real-time vs just one expert working from static training. they tend to perform better: https://arxiv.org/abs/2308.08155
1 reply
1 recast
1 reaction

wizard not parzival pfp
wizard not parzival
@alexpaden
i honestly believe the model(s) capacity to create new knowledge from existing knowledge is drastically overstated on its own.. definitely the easiest solution though i’ll run through this paper tmrw, tax
1 reply
0 recast
1 reaction