techniques

Zero-Shot Learning

AI ability to perform tasks it was not explicitly trained on.

Definition

Zero-shot learning enables models to handle new tasks or categories without seeing specific training examples.

How It Works: - Leverages general knowledge from pretraining - Uses task descriptions or prompts - Transfers understanding across domains

Key Enablers: - Large-scale pretraining - Instruction tuning - Rich semantic representations

Limitations: - May underperform vs fine-tuned models - Prompt sensitivity - Domain-specific knowledge gaps

GPT-4 translating to a language it saw little of during training.

The practice of designing effective prompts to get better outputs from AI models.

AI ability to learn new tasks from just a handful of examples.

LLMs learning to perform tasks from examples provided in the prompt without weight updates.

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