—— [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
Click on the public account card below, reply with the keyword:Painting to view the AI painting tutorial. # What Is the LoRA Model and How to Use It The LoRA model is a small model of the Stable Diffusion model, achieved by making slight modifications to the standard checkpoint model. They are typically 10 to … Read more
Article Title: FLORA: Low-Rank Adapters Are Secretly Gradient Compressors Article Link: https://arxiv.org/pdf/2402.03293 This paper not only introduces a brand new high-rank efficient fine-tuning algorithm but also deeply interprets the essence of LoRA: LoRA is a low-rank projection of full gradients. In fact, this perspective is not surprising; we can see traces of this viewpoint in … Read more