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jaketae.github.io | ||
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sebastianraschka.com
I'm Sebastian: a machine learning & AI researcher, programmer, and author. As Staff Research Engineer Lightning AI, I focus on the intersection of AI research, software development, and large language models (LLMs). |
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www.paepper.com
Introduction LoRA (Low-Rank Adaptation of LLMs) is a technique that focuses on updating only a small set of low-rank matrices instead of adjusting all the parameters of a deep neural network . This reduces the computational complexity of the training process significantly. LoRA is particularly useful when working with large language models (LLMs) which have a huge amount of parameters that need to be fine-tuned. The Core Concept: Reducing Complexity with Low-Rank Decomposition |
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www.jeremymorgan.com
Want to learn about PyTorch? Of course you do. This tutorial covers PyTorch basics, creating a simple neural network, and applying it to classify handwritten digits. |
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kevinlynagh.com
[AI summary] The author discusses their experience developing a simple neural network for sensor data processing on a microcontroller, highlighting challenges with quantization and inference optimization. |
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