This invention describes a computer system that processes user questions by first sending them to a powerful language model to generate intermediate thoughts. These thoughts, along with the original question, are then sent to a second powerful language model to create a final answer. To save computing power, the system can store and reuse these generated thoughts in a cache, which can be located on a local device or in the cloud.
Why it matters: The increasing efficiency of running multiple LLMs and the growing demand for extended context windows make this architecture more practical now. This addresses the core challenges of LLM deployment that were present in 2025.
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