It's been quite interesting to study how Gemini 1.5 Pro scales its in-context learning (ICL) from few to many shots. I found our experiments that avoid using hand-labeled examples with Reinforced ICL, and Unsupervised ICL (i.e. shots are input examples only), particularly neat.

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