Prompt Chaining

Technique used in natural language processing (NLP) and artificial intelligence (AI) to improve the performance of language models. It involves breaking down complex tasks into a series of simpler, sequential prompts that guide the model through a step-by-step process, enhancing accuracy and coherence in responses. This method is particularly beneficial for tasks requiring multiple stages of reasoning or information retrieval, targeting AI researchers and developers seeking to optimize model outputs.

Prompt Chaining was discovered on April 18th 2024 and it currently has a search volume of 3.6K with a growth of +1320%.