MarkDown # Getting Started with PyLoRa: Play with LoRaWAN Communication using Python Hello everyone! Today we will explore a very practical Python library – PyLoRa. This library allows us to easily implement communication functions for LoRaWAN devices using Python, making it particularly suitable for Internet of Things (IoT) development. Even if you are a beginner … Read more
In the past two years, there has been considerable debate among stakeholders in various IoT technologies regarding which technology holds more advantages. Are these technologies moving towards integration or continuing to compete? Will the future be one of coexistence or selective development? According to consulting firm IDC, the market size of IoT is expected to … Read more
Have you trained a dedicated portrait LoRA but can only generate close-up headshots? When you excitedly connect the LoRA to ComfyUI, only to find that it generates nothing but “ID photo-style” close-ups, and you can’t get half-body/full-body compositions to work—this is a pitfall that 90% of AI portrait players have encountered. Today, we will guide … Read more
Author: Zhao Xiaofei Internet of Things Think Tank Original Ten years ago, Low Power Wide Area Network (LPWAN) entered the industry’s view, initiating a competitive landscape. Although various technologies emerged, the 3GPP camp and the LoRa camp ultimately dominated, covering most low-power wide-area connection scenarios. The former includes representative technologies such as NB-IoT and LTE-M, … Read more
In 2017, the battlefield of the Internet of Things (IoT) is filled with intense competition. The low-power IoT teams are emerging as heroes. Everyone is gearing up to make bold statements to the world. LoRa, which took the lead, has recently demonstrated its rapid advancement through concrete actions. As of the latest official news, the … Read more
When engineers talk about “Mensi Technology’s OM822 module achieving all-weather command reception,” many may wonder: What exactly is LoRa? How is it related to LoRaWAN? Today, we will break it down technically and combine it with the product ecosystem of Mensi Technology to help you understand point-to-point communication clearly. 1. LoRa: The ‘Aerial Bridge’ Across … Read more
In the field of artificial intelligence, large language models (LLMs) such as Claude, LLaMA, and DeepSeek are becoming increasingly powerful. However, adapting these models to specific tasks, such as legal Q&A, medical dialogues, or internal knowledge queries for a company, traditionally involves “fine-tuning” the model. This often entails significant computational overhead and high resource costs. … Read more
MLNLPThe MLNLP community is a well-known machine learning and natural language processing community both domestically and internationally, covering NLP graduate students, university professors, and corporate researchers.The vision of the communityis to promote communication and progress between the academic and industrial sectors of natural language processing and machine learning, especially for beginners.Source | Machine HeartEditor | … Read more
Reported by Machine Heart Editor: Zhang Qian How much parameter redundancy exists in LoRA? This innovative research introduces the LoRI technology, which demonstrates that even significantly reducing the trainable parameters of LoRA can still maintain strong model performance. The research team tested LoRI on mathematical reasoning, code generation, safety alignment, and eight natural language understanding … Read more
In the previous article, we discussed the theory of fine-tuning. How do we implement it? First, let’s take a look at the effects of fine-tuning. The ultimate goal of fine-tuning is to enhance the model’s performance on specific tasks. We demonstrate the effects of fine-tuning by comparing the original model, the model with added system … Read more