Produced by 21ic Forum jinglixixi Website: bbs.21ic.com The Wio Terminal development board is a compact and exquisite product. This is because it differs significantly from the evaluation products we commonly see. Firstly, most MCU evaluation boards do not come with peripherals or have very simple peripherals, consisting only of LEDs and buttons; secondly, for those … Read more
This article is from a community submission, Author: Wang Yucheng, ML&IoT Google Developers Expert, Chief Engineer at Wenzhou University Smart Lock Research Institute.Learn more: https://blog.csdn.net/wfing In last week’s community sharing section, we introduced Getting Started with TinyML (Part 1), and this week we will continue our learning. Hello World — The Place Where Dreams Begin … Read more
1. Introduction Voice recognition technology (Automatic Speech Recognition) is a technology that converts human speech into text. For example, voice assistants like “Hey, Siri” and “Hi Alexa” are applications of voice recognition technology. Through voice assistants, users can directly control home appliances such as air conditioners, TVs, curtains, and lights using their voice, making device … Read more
LLM (Large Language Model) Definition: Large Language Models are AI models designed to understand and generate natural language text. They are typically based on deep learning techniques and trained on vast amounts of text data. Examples: GPT-3, GPT-4 (provided by OpenAI) BERT (provided by Google) T5 (provided by Google) Application Scenarios: Text generation Translation Sentiment … Read more
Click the card below to follow the “LiteAI” public account Hi, everyone, I am Lite. Recently, I shared the Efficient Large Model Full-Stack Technology Articles One to Nineteen, covering topics like large model quantization and fine-tuning, efficient inference for LLMs, quantum computing, and generative AI acceleration. The content links are as follows: Efficient Large Model … Read more
Hello everyone, today I’m going to take you to explore a super interesting field – TinyML! Are you still worried about insufficient computing power of devices? Or are you concerned that AI models are too large to run? TinyML was born to solve these problems. It can make AI models lightweight, make smart devices smarter, … Read more
↑↑↑ Click on the blue text above, reply with materials, and get a surprise of 10GB Author: Mu Yang Source: Huazhang Computer (hzbook_jsj) Introduction: Today, we introduce a brand new version of machine learning that you may not have tried before, called TinyML. ML is something we are all familiar with, while TinyML is the … Read more
Are you curious about Artificial Intelligence (AI) and Machine Learning (ML)? Do you want to know how to use it on the MCU you have already worked with? In this article, we will introduce you to Machine Learning on MCUs. This topic is also known as Tiny Machine Learning (TinyML). Get ready to lose to … Read more
Click belowcard, follow the “LiteAI” public account Hi, everyone, I am Lite. Recently, I shared the Efficient Large Model Full Stack Technology from Part 1 to 19, which includes large model quantization and fine-tuning, efficient inference of LLMs, quantum computing, generative AI acceleration, and more. The content links are as follows: Efficient Large Model Full … Read more
Click the card below to follow the “LiteAI” official account Hi, everyone, I am Lite. Recently, I shared the first to nineteenth articles on efficient large model full-stack technology, including large model quantization and fine-tuning, efficient inference of LLM, quantum computing, and generative AI acceleration. The content links are as follows: Efficient Large Model Full-Stack … Read more