Context Prompt

Context prompting involves crafting instructions for large language models (LLMs) that include relevant contextual information, improving performance on various tasks like relation extraction and question answering. Current research focuses on optimizing prompt design, including developing methods for generating effective prompts automatically and incorporating diverse contextual elements such as visual information or hints. This area is significant because improved prompting techniques enhance LLMs' accuracy, efficiency, and ability to handle complex tasks, leading to advancements in diverse applications ranging from financial analysis to image generation.