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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 internal parameters... See more

Very excited about our upcoming Full Stack Deep Learning bootcamp. Deadline to apply is this Friday, Nov 1. Apply here: https://t.co/OLM1B4TTm2... See more