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
picture tloen/alpaca-lorahttps://github.com/tloen/alpaca-lora Stars: 18.2k License: Apache-2.0 Alpaca-lora is a project for fine-tuning the LLaMA model on consumer-grade hardware. The main features, key characteristics, and core advantages of this project include: Provides an Instruct model that can run on Raspberry Pi, with quality similar to text-davinci-003, and the code is easy to extend to 13b, 30b, … Read more