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sebastianraschka.com | ||
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zserge.com
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| | | | | Neural network and deep learning introduction for those who skipped the math class but wants to follow the trend | |
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jaketae.github.io
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| | | | | I recently completed another summer internship at Meta (formerly Facebook). I was surprised to learn that one of the intern friends I met was an avid reader of my blog. Encouraged by the positive feedback from my intern friends, I decided to write another post before the end of summer. This post is dedicated to the mandem: Yassir, Amal, Ryan, Elvis, and Sam. | |
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www.paepper.com
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| | | | | 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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lorenzopieri.com
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| | | Sometime ago I wrote about how an app-based low-cost collaborative manipulator may be the first widespread general purpose robotic product which changes our daily life. In the article I made a prediction about the date in which such robot will be available for purchase, but I thought it would be fun to see what other people think about it, so I opened a forecast on Metaculus, check this link for the details: https://www.metaculus.com/questions/9034/cheap-robotic-manipulator-availability/ Have fun forecas... | ||
