Large Language Models (LLMs) › Few-Shot & Zero-Shot Learning

What is Few-Shot & Zero-Shot Learning

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Answer

Few shot learning means giving a model a small number of examples to guide its response, while zero shot learning means asking it to perform a task with no examples at all.

Real-world example A user can ask an LLM to translate a sentence with zero shot learning by simply describing the task, without giving any example translations.

Common follow-ups: What is Large Language Models (LLMs), How is Few-Shot & Zero-Shot Learning evaluated in practice, What tools are commonly used for Few-Shot & Zero-Shot Learning

Large Language Models (LLMs) topics: What Are Large Language Models LLM Architecture Overview Tokenization in LLMs