Exploring Prompt Compression with LLMLingua: Balancing Efficiency and Quality

For the last year I have working on integrating Large Language Models (LLMs) into different applications. I've been fascinated by how powerful they are but they have also had their limitations. One of the challenges I've encountered, is the trade-off between prompt length and performance. Longer prompts often yield better results but come at the cost of increased latency and computational resources. This is where LLMLingua comes in - a tool designed to compress prompts while maintaining the quality of …

ai applications challenges compression efficiency language language models large language large language models limitations llm llmlingua llms performance prompt promptengineering prompts quality results trade trade-off