Few-shot prompting is an advanced technique used to enhance the performance of a large language model (LLM) by utilizing a small number of targeted examples (known as "shots"). These examples, which comprise specific prompts, are designed to direct the LLM toward desired responses for particular tasks.
Overview of Few-Shot Prompting:
Few-shot prompting is an advanced technique used to enhance the performance of a large language model (LLM) by utilizing a small number of targeted examples (known as "shots"). These examples, which comprise specific prompts, are designed to direct the LLM toward desired responses for particular tasks.