Category: MindSpore
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The source code for the experiment mentioned in this article is available on GitHub. I was studying chapter 9 of D2L recently on natural language processing (NLP) using recurrent neural networks (RNN). To validate and further reinforce my understanding of the concepts presented in the chapter, I decided to train a word-level language…
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The notebook source code for this experiment is available on GitHub. “MLflow is the largest open source AI engineering platform for agents, LLMs, and ML models.” It was originally developed by Databricks and joined the Linux Foundation in June 2020. MLflow enables data scientists and ML engineers to manage and visualize their model training pipelines…
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The notebook source code for this article is available on GitHub. Transfer learning is the practice of adapting a pre-trained model for a new but related task. An example of transfer learning is low-rank adaptation (LoRA), a common technique in LLM fine-tuning. In this notebook experiment, let’s load ResNet-18 with MindCV for fine-tuning on the CIFAR-100 dataset. ResNet-18 is…
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The notebook source code for this article is available on GitHub. Last time we saw how to upgrade the MindSpore 2.4.10 + CANN 8.0.0 pre-included with the Ubuntu 22.04 desktop image for OrangePi AIpro (20T) to MindSpore 2.8.0 + CANN 8.5.0. MindSpore 2.9.0 + CANN 9.0.0 were released on May 2026 with the following major highlights, among others. This…
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The notebook source code for this article is available on: GitCode, GitHub MindSpore is an open source deep learning framework lead by Huawei and the MindSpore community. It is optimized for performing model training and inference tasks on Huawei’s Ascend series processors (NPUs), though it supports NVIDIA GPUs and CPU-only environments as well. It provides a compelling…
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OrangePi AIpro (20T) is a development board under the Orange Pi brand owned by Xunlong Software and released in 2024. It features 4 CPU cores plus a neural processing unit (NPU) based on Huawei’s Ascend technology capable of running modern AI/ML workloads. The embedded NPU is capable of performing 20 TOPS or trillion operations per second. I…
Donald Sebastian Leung 