klotz: pytorch*

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  1. The article discusses the competition Nvidia faces from Intel and AMD in the GPU market. While these competitors have introduced new accelerators that match or surpass Nvidia's offerings in terms of memory capacity, performance, and price, Nvidia maintains a strong advantage through its CUDA software ecosystem. CUDA has been a significant barrier for developers switching to alternative hardware due to the effort required to port and optimize existing code. However, both Intel and AMD have developed tools to ease this transition, like AMD's HIPIFY and Intel's SYCL. Despite these efforts, the article notes that the majority of developers now write higher-level code using frameworks like PyTorch, which can run on different hardware with varying levels of support and performance. This shift towards higher-level programming languages has reduced the impact of Nvidia's CUDA moat, though challenges still exist in ensuring compatibility and performance across different hardware platforms.

    2024-12-25 Tags: , , , , , by klotz
  2. This tutorial covers fine-tuning BERT for sentiment analysis using Hugging Face Transformers. Learn to prepare data, set up environment, train and evaluate the model, and make predictions.

  3. A deep dive into the theory and applications of diffusion models, focusing on image generation and other tasks, with examples and PyTorch code.

  4. Lambda Stack is an all-in-one package that provides a one line installation and managed upgrade path for deep learning and AI software, ensuring that you always have the most up-to-date versions of PyTorch, TensorFlow, CUDA, CuDNN, and NVIDIA Drivers.

  5. • This is an MCU-based vision AI module powered by Arm Cortex-M55 and Ethos-U55, supporting TensorFlow and PyTorch frameworks. • It has a standard CSI interface, onboard digital microphone, and SD card slot. • Compatible with XIAO series, Arduino, Raspberry Pi, and ESP dev board. • Supports off-the-shelf and custom AI models from SenseCraft AI, including Mobilenet V1, V2, Efficientnet-lite, Yolo v5 & v8. • Can be used for industrial automation, smart cities, transportation, smart agriculture, and mobile IoT devices.

  6. This article explains why Convolutional Neural Networks (CNN) are useful for function identification in reverse engineering, and provides a Python implementation using PyTorch to identify the start of functions in binaries.

  7. 2024-04-19 Tags: , , , , by klotz
  8. efficient method for fine-tuning LLM using LoRA and QLoRA, making it possible to train them even on consumer hardware

  9. 2023-07-15 Tags: , , , , by klotz
  10. 2023-04-14 Tags: , , , by klotz

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