Negative Prompting

This tutorial explores the concept of negative prompting and techniques for avoiding undesired outputs when working with large language models. We'll focus on using OpenAI's GPT models and the LangChain library to implement these strategies.

As AI language models become more powerful, it's crucial to guide their outputs effectively. Negative prompting allows us to specify what we don't want in the model's responses, helping to refine and control the generated content. This approach is particularly useful when dealing with sensitive topics, ensuring factual accuracy, or maintaining a specific tone or style in the output.