Click the card below to follow the “LiteAI” public account Hi, everyone, I am Lite. Recently, I shared the Efficient Large Model Full-Stack Technology from Article One to Nineteen, which includes content on large model quantization and fine-tuning, efficient inference for LLMs, quantum computing, generative AI acceleration, etc. The content links are as follows: Efficient … Read more
Click the card below to follow the “LiteAI” public account Hi, everyone, I am Lite. Recently, I shared the Efficient Large Model Full-Stack Technology from Part 1 to 19, including large model quantization, fine-tuning, efficient inference of LLMs, quantum computing, generative AI acceleration, etc. The content links are as follows: Efficient Large Model Full-Stack Technology … Read more
Paper Title: LoRA: Low-Rank Adaptation of Large Language Models Authors: Edward J. Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, Weizhu Chen Compiled by: Kuang Ji Reviewed by: Los Abstract: This article introduces a new approach for deploying large models, called LoRA, which reduces the number of parameters needed for … Read more
Good articles should be shared! If you like this article, please contact the backend to add to the whitelist, and you are welcome to reprint it~ Due to the ability of rotary transformers to maintain excellent reliability and high precision performance in harsh and adverse environments for a long time, they are widely used in … Read more