Few-shot learning allows models to generalize from just a few examples, while zero-shot learning enables them to perform tasks without prior examples. Both are key to GenAI’s adaptability. Tellius uses few-shot and zero-shot techniques to tune NLQ, semantic matching, and workflow triggering without large custom datasets.

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