The mainstream method for fine-tuning LLMs, LoRA, has a new variant. Recently, NVIDIA partnered with Hong Kong University of Science and Technology to announce an efficient fine-tuning technique called DoRA, which achieves more granular model updates through low-rank decomposition of pre-trained weight matrices, significantly improving fine-tuning efficiency. In a series of downstream tasks, both training … Read more
With the continuous increase in the number of IoT devices, communication or connection between devices has become an important topic of consideration. Communication is very common and critical for IoT, whether it is short-range wireless transmission technology or mobile communication technology, both of which affect the development of IoT. Among these, communication protocols are especially … Read more
—— [Introduction] —— This article discusses the application and design ideas of low-power wide-area IoT technology in different scenarios, aiming to provide a practical judgment on the maturity of low-power wide-area IoT technology, the selection of application scenarios, and its importance in the field of IoT technology. 1. Background This article discusses the application and … Read more
Editor’s Note: Train a Lora in 15 minutes, Generate dozens of inspiration images in 3 minutes, Convenient parameter adjustments, Create your own AI assistant. In the AI era, Every designer should become an AI trainer. No need for scientific internet access, No computer configuration requirements, The “Academy” sibling company “Yiyuan AI” is currently open for … Read more
Article Link: https://arxiv.org/abs/2409.01035 Code Link: https://github.com/Chongjie-Si/Subspace-Tuning Project Homepage: https://chongjiesi.site/project/2024-lora-dash.html Due to the rich content of the LoRA-Dash paper, compressing 30 pages of content into 10 pages is a highly challenging task. Therefore, we have made careful trade-offs between readability and content integrity. The starting point of this article may differ from the original paper, aligning … 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
With the deepening of the green development concept, the idea of energy-saving hospitals is becoming increasingly popular. The widespread application of central air conditioning in hospital buildings provides a more comfortable medical environment but also brings enormous energy consumption, significantly increasing the operational costs of hospitals.According to surveys, the energy consumption of central air conditioning … Read more
Source: DeepHub IMBA This article is approximately 1000 words and is recommended to be read in 5 minutes. Low-Rank Adaptation significantly reduces the number of trainable parameters for downstream tasks. For large models, it becomes impractical to fine-tune all model parameters. For example, GPT-3 has 175 billion parameters, making both fine-tuning and model deployment impossible. … Read more
Based on LoRA technology, open large model platforms are becoming increasingly popular. This model significantly lowers the barriers for users to train models; by simply uploading a few dozen images, a small model can be trained. Moreover, this allows the platform to enable a continuous stream of users to become “data cows,” which is particularly … Read more
LoRa is a wireless network standard based on linear modulation. Linear Modulation: Linear modulation represents “compressed high-intensity radar pulses,” which is a signal whose frequency increases or decreases over time. It is commonly used in sonar and radar, and is also prevalent in spread spectrum technology. Linear Frequency Modulation Spread Spectrum: Linear frequency modulation spread … Read more