LLMLingua: Innovating LLM efficiency with prompt compression
This research paper was presented at the 2023 Conference on Empirical Methods in Natural Language Processing (opens in new tab) (EMNLP 2023), the premier conference on natural language processing and artificial intelligence.
As large language models (LLMs) models advance and their potential becomes increasingly apparent, an understanding is emerging that the quality of their output is directly related