Sequential prompting is a technique utilized in natural language processing (NLP) and artificial intelligence (AI) to enhance the performance of language models. This method involves decomposing complex tasks into a series of simpler, sequential prompts that guide the model through a structured step-by-step process. By doing so, it improves the accuracy and coherence of the model’s responses. This approach is especially advantageous for tasks that demand multiple stages of reasoning or information retrieval, making it a valuable tool for AI researchers and developers aiming to optimize model outputs and achieve more reliable results in their applications.
