<ul><li>Few-shot prompting is a powerful tool for guiding Large Language Models (LLMs) like ChatGPT by providing 1 or more examples of desired input-output behavior within the prompt.</li><li>Examples of few-shot prompting include tasks like sentiment analysis and email reply generation where a few example pairs of input and output guide the model's behavior.</li><li>Advantages of few-shot prompting include flexibility in adapting to tasks, reduced effort in crafting specific prompts, and improved accuracy in generating responses.</li><li>Limitations of few-shot prompting include context window restrictions, trial and error in finding the right examples, and dependence on the quality of examples selected.</li></ul>

Few-Shot Prompting: A Beginner's Guide with Examples, Pros, and Cons

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