Large Language Models (LLMs) have irrevocably transformed the landscape of artificial intelligence, demonstrating unparalleled prowess in comprehending, generating, and manipulating human language. At the core of every LLM interaction lies the “prompt” – the guiding input text. While these models exhibit remarkable scale and sophistication, a persistent and critical bottleneck remains: the finite context window. This fundamental limitation dictates the maximum amount of information an
