MLNLP community is a well-known machine learning and natural language processing community, covering domestic and international NLP master’s and doctoral 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 at home and abroad, especially … Read more
Author: Gu Zhengshu EET Electronic Engineering Magazine Original Emerging markets such as wearable devices, smart homes, and industrial IoT are driving the development and popularity of wireless connection technologies, while also raising higher requirements for the reliability and security of wireless connection chips, modules, and terminal devices. This report selects four relatively common wireless connection … Read more
MLNLP community is a well-known machine learning and natural language processing community both domestically and internationally, covering audiences including NLP graduate students, university teachers, and industry researchers. The vision of the community is to promote communication and progress between the academic and industrial sectors of natural language processing and machine learning, especially for beginners. Source … Read more
The current SD has been upgraded to version 1.5, and there is a very popular LoRA that ranks first in downloads on C station, which is the add Details (enhance details) model. For a long time, there was a lack of a similar LoRA to improve image quality. Although the SDXL model is delicate and … Read more
Haitao Zhang, Yaozhen Han （Shandong Jiaotong University, School of Information Science and Electrical Engineering, Shandong Jinan 250357） Abstract：This paper addresses the issues of short communication transmission distance and high power consumption in current combustible gas monitoring systems, and proposes a design scheme for a combustible gas monitoring system based on LoRa technology, providing the overall … Read more
Source: DeepHub IMBA This article is approximately 2400 words long and is recommended for a 5-minute read. In this article, we will see how to use vLLM with multiple LoRA adapters. We all know that using LoRA adapters can customize large language models (LLMs). The adapters must be loaded on top of the LLM, and … Read more
MLNLP community is a well-known machine learning and natural language processing community at home and abroad, covering domestic and international NLP graduate students, university teachers, and corporate researchers. The vision of the community is to promote communication and progress between academia, industry, and enthusiasts in natural language processing and machine learning, especially for beginners. Selected … Read more
Originally from PaperWeekly Author: Dan Jiang Affiliation: National University of Singapore Generally speaking, the deployment of large language models follows the “pre-training – then fine-tuning” model. However, when fine-tuning a base model for numerous tasks (such as personalized assistants), the training and service costs can become very high. Low-Rank Adaptation (LoRA) is a parameter-efficient fine-tuning … Read more
The greatest science fiction writers probably never anticipated the invention of the internet. If the internet changed modern people, the rapidly developing Internet of Things (IoT) industry has even more to offer for the future. Whether it’s smart cities, smart homes, smart factories, or industries like construction, logistics, and public services, more and more “things” … Read more
As the parameter count of large models continues to grow, the cost of fine-tuning the entire model has become increasingly unacceptable. To address this, a research team from Peking University proposed a parameter-efficient fine-tuning method called PiSSA, which surpasses the fine-tuning effects of the widely used LoRA on mainstream datasets. Paper Title: PiSSA: Principal Singular … Read more