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)

In-Depth Analysis of LoRa Wireless Technology for Energy Control in Hospital HVAC Systems

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In-Depth Analysis of LoRa Wireless Technology for Energy Control in Hospital HVAC Systems

With the deepening of the green development concept, the idea of energy-saving hospitals is becoming increasingly popular. The widespread application of central air conditioning in hospital buildings provides a more comfortable medical environment but also brings enormous energy consumption, significantly increasing the operational costs of hospitals.According to surveys, the energy consumption of central air conditioning … Read more

LoRA: Low-Rank Adaptation for Large Models

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LoRA: Low-Rank Adaptation for Large Models

Source: DeepHub IMBA This article is approximately 1000 words and is recommended to be read in 5 minutes. Low-Rank Adaptation significantly reduces the number of trainable parameters for downstream tasks. For large models, it becomes impractical to fine-tune all model parameters. For example, GPT-3 has 175 billion parameters, making both fine-tuning and model deployment impossible. … Read more

LoRA Empowerment: Addressing the Data Scarcity of Large Model Open Platforms

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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

How LoRa Signals Are Generated

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How LoRa Signals Are Generated

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

AI Painting Tutorial: What Is the LoRA Model and How to Use It

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AI Painting Tutorial: What Is the LoRA Model and How to Use It

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

Exploring the Essence of LoRA: A Low-Rank Projection of Full Gradients

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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

Towards High-Rank LoRA: Fewer Parameters, Higher Rank

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Towards High-Rank LoRA: Fewer Parameters, Higher Rank

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

Implementing LoRA From Scratch with Practical Tips

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Implementing LoRA From Scratch with Practical Tips

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

How to Code LoRA From Scratch: A Tutorial

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How to Code LoRA From Scratch: A Tutorial

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

Differences Between LoRA and Full Fine-Tuning Explained in MIT Paper

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Differences Between LoRA and Full Fine-Tuning Explained in MIT Paper

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