Mixture of In-Context Learners
Uses subsets of demonstrations to train experts via in-context learning. Given a training set, a trainable weighting function is used to combine the experts' next-token predictions.
This approach applies to black-box LLMs since access to the…
Pretty cool!! Lets #connect
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