Markdown Cheatsheet
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Microscaling (MX) data formats are designed to reduce computational and storage costs in deep learning applications by combining a per-block scaling factor with narrow floating-point and integer types for individual elements. This approach balances hardware efficiency, model accuracy, and user convenience. Empirical results from popular benchmarks demonstrate the practicality of MX data formats as a drop-in replacement for standard FP32 in AI inference and training, with minimal user friction. Notably, MX formats have enabled the training of generative language models with sub-8-bit weights, activations, and gradients, incurring only minor accuracy losses without requiring modifications to the training process.
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“Chat with RTX” is an application that allows customization of a GPT large language model (LLM) with your specific content like documents and notes. This enables you to generate contextually relevant answers from a bespoke chatbot. The entire setup operates locally on RTX-enabled Windows PCs or workstations, ensuring quick and secure access to information.
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GPU-related notes
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Remote jupyter notebook can be useful when the remote computer has better computing power than the local one or the remote is a server that you can connect from different places.
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Reading Notes
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Linux-related notes
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Installing the NVIDIA driver could be non-trivial if some packages or dependencies were missing during the installation process.
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miniconda is a simplified version of anaconda where you can configure different environments for various development purposes. Using this software, Tensorflow with GPU support can be set up for deep learning research.
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screen command in Linux provides the ability to launch and use multiple shell sessions from a single ssh session.
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Burn a new OS image onto a bootable flash drive.
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You can following the installation manual
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After you committed your repo, github will automatically detect the programming language you used. Sometimes, the specified the language is not the right one.