What is the lost in the middle problem in long-context prompts?

Lost in the middle is the observation that LLMs often pay less attention to information placed in the middle of a long context compared to the beginning or end. This means even models with large context windows do not use them uniformly. Place the most important information at the start or end of the prompt, especially for RAG with many retrieved chunks.