Edge Impulse recently launched a functionality that shows just one of the powerful ways that LLMs can be utilized on the edge: using GPT-4o to train a 2,000,000x smaller model, that runs directly on device. Their initial demo showed how this tool could be used to label images for binary classification (presence/absence) but there are more complex labeling tasks possible. This article explores how visual data from a satellite could be labeled both for cloud type and for coverage, generating two u

Are you interested in building machine-learning models? You can now try the Edge Impulse platform to get data from various sources, including your sensor hardware, public datasets, and data generated through simulations or synthetic data generation. Edge Impulse has been sharing informative content on Wevolver for a while. In the following article, you can learn more about the embedded Machine Learning revolution & try their platform for free. Access the free tool via the link https://wevlv.co/4

Are you interested in building your own machine learning models? You can now try the Edge Impulse platform to get data from various sources, including your own sensor hardware, public datasets, and data generated through simulations or synthetic data generation. Edge Impulse has been sharing informative content on Wevolver for a while. In the following article you can learn more about the embedded Machine Learning revolution & try their platform for free. https://www.wevolver.com/article/the-emb