DeepSeek Solved AI’s Memory Problem

DeepSeek-OCR addresses the high token consumption costs of Large Language Models (LLMs) when processing long documents. By treating text as an image and compressing it through an encoder trained specifically for this task, the model significantly reduces token usage while maintaining high accuracy in text recovery. The technique leverages local window attention and a convolutional compressor to handle high-resolution documents efficiently. While remarkably effective, research also indicates that the model sometimes 'fills in the gaps' using linguistic knowledge rather than purely visual evidence, posing questions about the absolute limits of this compression method.