Prompt chaining is a powerful NLP technique that involves sequentially feeding multiple prompts or instructions to a language model. It enables the model to build upon previous knowledge and context, resulting in more complex and informed responses. This technique is particularly useful for training and utilizing Large Language Models (LLMs) like GPT-3, enhancing their performance in tasks such as chatbot response generation and dialogue system development.
