Few Shot Learning
Few-shot learning is a machine learning approach in which a model learns to perform a new task from only a small number of labeled examples, rather than a large training dataset.
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Glossary Terms(4)
Chain of Thought
Chain of thought is a prompting technique that encourages a large language model to generate intermediate reasoning steps before producing a final answer, impr…
Few-Shot Learning
Few-shot learning is a machine learning approach in which a model learns to perform a new task from only a small number of labeled examples, rather than a larg…
Zero-Shot Learning
Zero-shot learning is a machine learning capability where a model performs a task it was never explicitly trained or shown examples for, relying only on its ge…
Transfer Learning
Transfer learning is a machine learning technique in which a model trained on one task or dataset is reused, often with additional fine-tuning, as the starting…