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There are examples of learning reasoning from scratch with reinforcement learning. Emergent tool use from multi-agent interaction is a good example - https://o
by dchichkov 2y ago
There are examples of learning reasoning from scratch with reinforcement learning.
Emergent tool use from multi-agent interaction is a good example - https://openai.com/index/emergent-tool-use/ https://openai.com/index/emergent-tool-use/
- ipaddr 2y agoNow you are asking for a perfect modeling of the system. Reinforcement learning works by discovering boundaries.
- tracker1 2y agoNow rediscover all the plants that are and aren't poisonous to most people.
- dchichkov 2y agoI've suggested that long context should be included into the prompt. In your particular case the prompt would look something like: <pubmed dump> what are the plants that aren't poisonous to most people? A general reasoner would recover language and relevant world model from pubmed dump. And then would proceed to reason about it, to perform the task. It doesn't look like a particularly efficient process.