F (pirahansiah)

F

AI LLMs

17 Followers

Recent casts

I think the Apple M4 will be the best choice for LLM/Machine Learning research. The M1 NPU offers 11 TOPS, the M2 NPU 15.8 TOPS, the M3 NPU 18 TOPS, and the M4 NPU 38 TOPS. While the RTX 4090 offers more TFlops, it is limited to 24 GB DDR5, whereas the M4 Max/Ultra allows you to significantly increase the RAM.

  • 0 replies
  • 0 recasts
  • 0 reactions

Monitoring System Resources on NVIDIA Jetson Nano 1. Tegrastats Utility: Use the tegrastats utility for real-time system monitoring: "sudo /usr/bin/tegrastats" This command displays live data about CPU, GPU, memory usage, and temperature. 2. Installing jtop sudo -H pip3 install jetson-stats sudo jtop

  • 0 replies
  • 0 recasts
  • 0 reactions

This mind map provides an organized overview of Python programming, covering basics, OOP, libraries, modern features, best practices, and tools.

  • 0 replies
  • 0 recasts
  • 0 reactions

Top casts

Convert Image to Cartoon by ChatGPT 4 https://chat.openai.com/g/g-EVV73fLHb-image2cartoon

  • 0 replies
  • 0 recasts
  • 1 reaction

C++, Pytorch, MacOS project(pytorchCPP) set(CMAKE_CXX_STANDARD 17) find_package(Torch REQUIRED) add_executable(pytorchCPP pytorchCPP.cpp) target_link_libraries(pytorchCPP "${TORCH_LIBRARIES}") if(APPLE AND ${CMAKE_CXX_COMPILER_ID} STREQUAL "Clang") target_compile_options(pytorchCPP PRIVATE -stdlib=libc++) endif()

  • 0 replies
  • 0 recasts
  • 1 reaction

On-Device Training in ONNX Runtime (ORT) allows models to be trained directly on edge devices, enhancing user privacy by keeping data local. ORT, a cross-platform engine, supports various machine learning models and now extends to on-device training, making it simpler for developers to train models with data on …

  • 0 replies
  • 0 recasts
  • 1 reaction

Computer Vision Developer by ChatGPT 4 Using expert in Python, OpenCV for image Processing applications https://chat.openai.com/g/g-vHELtCqJq-computer-vision-develope

  • 0 replies
  • 0 recasts
  • 1 reaction

Onchain profile

Ethereum addresses