通用人工智能中的Long-Context技术分析

Analysis of Long-Context Technology in General Artificial Intelligence

阐述通用人工智能中的Long-Context技术原理,提出该技术的解决方案,包括位置编码外推、注意力机制计算优化、模型结构优化和检索增强生成。分析硬件系统的瓶颈,探讨Long-Context在通用人工智能时代的发展趋势。

This paper expounds the principle of Long Context technology in general artificial intelligence and proposes a solution for this technology,including position encoding extrapolation,attention mechanism calculation optimization,model structure optimization,and retrieval enhancement generation.It analyzes the bottlenecks of hardware systems and explores the development trend of Long Context in the era of general artificial intelligence.