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
This is a very impressive paper. The MeLoRA algorithm proposed in the paper not only achieves a rank increase but also shows certain improvements in computational efficiency compared to vanilla LoRA. Although the theory in this paper is relatively simple and there are not many mathematical formulas, the specific methods are quite enlightening. Article Title: … Read more
Source: DeepHub IMBA This article is approximately 5000 words long and is suggested to be read in 10 minutes. This article starts with a simple implementation of LoRA, delving into LoRA, its practical implementation, and benchmarking. LoRA stands for Low-Rank Adaptation, which provides an efficient and lightweight method for fine-tuning pre-existing language models. One of … Read more
The author states: Among various effective LLM fine-tuning methods, LoRA remains his preferred choice. LoRA (Low-Rank Adaptation) is a popular technique for fine-tuning LLMs (Large Language Models), initially proposed by researchers from Microsoft in the paper “LORA: LOW-RANK ADAPTATION OF LARGE LANGUAGE MODELS”. Unlike other techniques, LoRA does not adjust all parameters of the neural … Read more
MLNLP community is a well-known machine learning and natural language processing community both domestically and internationally, covering NLP graduate students, university teachers, and corporate researchers. The vision of the community is to promote communication and progress between the academic and industrial circles of natural language processing and machine learning, especially for beginners. Reprinted from | … Read more
Introduction LoRA (Low-Rank Adaptation of Large Language Models) is a very practical fine-tuning framework for large models. Before the emergence of LoRA, I used to manually modify parameters, optimizers, or layer counts to “refine” models, which was extremely blind. However, the LoRA technique allows for quick fine-tuning of parameters. If the results after LoRA fine-tuning … Read more
Robotics technology is a high-tech field that integrates various disciplines, including computer science, control theory, mechanics, information and sensing technology, artificial intelligence, and bionics. It is an area of active research and increasing application in contemporary society. The application of robots is an important indicator of a country’s industrial automation level. Robots do not simply … Read more