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Few-Shot Learning - What is few shot learning vs continual learning?


Few-shot learning is all about evaluating the model's adaptability to new tasks by focusing on comprehending new ideas with the least feasible amount of samples. The capacity of the model to acquire new concepts while retaining old ones is what continuous learning evaluates.