Starving yourself is unproductive, but what happens when you starve your LLMs…of context?
Author(s): Surya Maddula Originally published on Towards AI. Starving your LLMs might be the key to contextual prompt reduction. LLMs have remarkable capabilities for nlp tasks, but when deploying them, there’s always been a few challenges because of two main reasons: computational costs and memory constraints. And this is especially true when processing lengthy prompts. Image explaining prompt length challenges.The article discusses various strategies and techniques for reducing prompt sizes when working with large language models (LLMs) without […]