↑ ClickBlue Text Follow the Jishi Platform Author丨CW Don’t Be Boring Editor丨Jishi Platform Jishi Guide Big questions about the popular LoRA in the model training community! Dive deep into understanding LoRA with source code analysis.>> Join the Jishi CV Technology Group to stay at the forefront of computer vision. Introduction Since ChatGPT sparked the trend … Read more
In previous episodes, we discussed modifications related to exhaust systems, brakes, and suspensions. Today, we will finally talk about a modification project that many car enthusiasts are quite interested in and that has garnered a lot of attention: ECU tuning. ECU tuning has become a very popular modification project. Is it really enough to just … Read more
Selected from Sebastian Raschka’s blog Translated by Machine Heart Editor: Jiaqi This is the experience derived from hundreds of experiments by the author Sebastian Raschka, worth reading. Increasing the amount of data and the number of model parameters is a widely recognized direct method to improve neural network performance. Currently, mainstream large models have parameter … Read more
Abstract——The rapid development of foundational models——large-scale neural networks trained on diverse and extensive datasets——has revolutionized artificial intelligence, driving unprecedented advancements in fields such as natural language processing, computer vision, and scientific discovery. However, the enormous parameter counts of these models, often reaching billions or even trillions, pose significant challenges in adapting them to specific downstream … Read more
Machine Heart Column Machine Heart Editorial Team As the parameter size of large models continues to grow, the cost of fine-tuning the entire model has gradually become unacceptable. To address this, a research team from Peking University proposed a parameter-efficient fine-tuning method called PiSSA, which outperforms the widely used LoRA in fine-tuning effectiveness on mainstream … Read more
Selected from Raphael G’s blog Translated by Machine Heart Author: Raphael G Editor: Big Chicken Using LoRA to build faster AI models. AI models are becoming increasingly powerful and complex, and their speed has become one of the standards for measuring advancement. If AI is a luxury sports car, then the LoRA fine-tuning technology is … Read more
Source: Deephub Imba This article is about 4000 words long, and it is recommended to read in 6 minutes. In this article, we will explain the basic concepts of LoRA itself and then introduce some variants that improve the functionality of LoRA in different ways. LoRA can be said to be a major breakthrough for … Read more
↑ ClickBlue Text Follow the Extreme City Platform Author丨Genius Programmer Zhou Yifan Source丨Genius Programmer Zhou Yifan Editor丨Extreme City Platform Extreme City Guide LoRA is a common technology in today’s deep learning field. For SD, LoRA can edit a single image, adjust the overall style, or achieve more powerful functions by modifying the training objectives. The … Read more
Excerpt from lightning.ai Author: Sebastian Raschka Compiled by Machine Heart Editor: Chen Ping The author states: Among various effective LLM fine-tuning methods, LoRA remains his top choice. LoRA (Low-Rank Adaptation) is a popular technique for fine-tuning LLMs (Large Language Models) that was first proposed by researchers from Microsoft in the paper “LORA: LOW-RANK ADAPTATION OF … Read more
Introduction With the continuous expansion of model scale, the feasibility of fine-tuning all parameters of the model (so-called full fine-tuning) is becoming increasingly low. Taking GPT-3 with 175 billion parameters as an example, each new domain requires a complete fine-tuning of a new model, which is very costly! Paper: LORA: LOW-RANK ADAPTATION OF LARGE LANGUAGE … Read more