Embedded Hardware

 

  • System on Modules (SoM)
  • Single Board Computers (SBC)
  • Development Boards
  • Industrial PCs & Embedded Computers
  • IoT & Edge Computing Gateways
  • AI & Machine Learning Modules
  • Rugged & Industrial-Grade Components
  • Peripherals & Expansion Modules (Displays, Sensors, Power Modules)

Integrating MoE into LoRA: The Birth of an Article

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Integrating MoE into LoRA: The Birth of an Article

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 Killer in the Container: Container Weapon Systems

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The Killer in the Container: Container Weapon Systems

The container weapon system can disguise itself as a standard container to launch surprise attacks on enemy targets, achieving the goal of using the weak to defeat the strong. In recent years, more and more countries have been researching and testing in this area.In 2010, Russia was the first to introduce the Club-K container missile … Read more

AI Painter Training Camp | Enhanced SDXL Model for Richer Images and Finer Details

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AI Painter Training Camp | Enhanced SDXL Model for Richer Images and Finer Details

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

Overview of a Combustible Gas Monitoring System Based on LoRa Technology

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Overview of a Combustible Gas Monitoring System Based on LoRa Technology

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

Deploying Multiple LoRA Adapters on a Base Model with vLLM

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Deploying Multiple LoRA Adapters on a Base Model with vLLM

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

Cost-Effective Fine-Tuning with LoRA for Large Models

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Cost-Effective Fine-Tuning with LoRA for Large Models

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

Single-GPU Operation for Thousands of Large Models: UC Berkeley’s S-LoRA Method

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Single-GPU Operation for Thousands of Large Models: UC Berkeley's S-LoRA Method

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

Focusing on Community and Open Source to Create Standardized Products for Diverse IoT Needs

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Focusing on Community and Open Source to Create Standardized Products for Diverse IoT Needs

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

New Method PiSSA Significantly Enhances Fine-Tuning Effects

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New Method PiSSA Significantly Enhances Fine-Tuning Effects

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

MMD-LoRA: Integrating LoRA and Contrastive Learning for Depth Estimation

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🫱Click here to join the 16 specialized direction discussion group (🔥Recommended)🫲 Abstract: The authors introduce a Multi-Modality Driven Low-Rank Adaptation (MMD-LoRA) method that utilizes low-rank adaptation matrices to achieve efficient fine-tuning from the source domain to the target domain, addressing the Adverse Condition Depth Estimation (ACDE) problem. It consists of two core components: Prompt-based Domain … Read more