What are the applications of few-shot learning in AI?
Few-shot learning is used in various applications like image recognition, natural language processing, and robotics.
Can you give me an example of few-shot learning in image recognition?
Sure! In image recognition, few-shot learning allows a model to identify new objects with just a few labeled images.
How does few-shot learning improve natural language processing?
It helps models understand and generate text with limited examples, enhancing tasks like translation and sentiment analysis.
What are the challenges faced in implementing few-shot learning?
Challenges include data scarcity, model generalization, and the need for effective training techniques.
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