Tips membuat bump chart sumber: https://towardsdatascience.com/create-bump-charts-with-matplotlib-431b0e6fcb90 Sumber: https://www.flerlagetwins.com/2017/01/my-thoughts-on-bump-charts-and-when-to_45.html Sumber: https://stackoverflow.com/questions/68095438/how-to-make-a-bump-chart
Pengukuran penggunaan energi pada prosesor AMD dapat menggunakan software uProfhttps://www.amd.com/en/developer/uprof.html Software uProf untuk Linux: https://download.amd.com/developer/eula/uprof/amduprof_4.0-341_amd64.deb Prosedur Instalasi: apt install bccdpkg -i amduprof_4.0-341_amd64.deb Optimized C compiler untuk AMD: AOCC (AMD Optimizing C/C++ and Fortran Compilers) AOCC archive https://developer.amd.com/aocc-archive-section/ https://www.amd.com/en/developer/aocc.html Referensi Wikipedia AMD Optimizing C/C++ Compiler
Pilihan compiler untuk prosesor AMD Referensi
FlexGen is a high-throughput generation engine for running large language models with limited GPU memory (e.g., a 16GB T4 GPU or a 24GB RTX3090 gaming card!). This is a research project developed by HazyResearch@Stanford, SkyComputing@UC Berkeley, DS3Lab@ETH Zurich, CRFM@Stanford, and TogetherCompute. More: https://github.com/FMInference/FlexGen
PyGWalker can simplify your Jupyter Notebook data analysis and data visualization workflow. By turning your pandas dataframe into a Tableau-style User Interface for visual exploration. More: https://github.com/Kanaries/pygwalker
Open source solution replicates ChatGPT training process! Ready to go with only 1.6GB GPU memory and gives you 7.73 times faster training! Tautan: https://www.hpc-ai.tech/blog/colossal-ai-chatgpt
This work presents Kornia – an open source computervision library which consists of a set of differentiable rou-tines and modules to solve generic computer vision prob-lems. The package uses PyTorch as its main backend bothfor efficiency and to take advantage of the reverse-modeauto-differentiation to define and compute the gradient ofcomplex functions. Inspired by OpenCV, Kornia … Lanjutkan membaca Kornia: an Open Source Differentiable Computer Vision Library for PyTorch
Gigabyte Motherboards: Gigabyte GA-EG31M S2 Schematics Gigabyte GA-EP31 DS3L Schematics Gigabyte GA-G33M DS2R schematics Gigabyte GA-G31M S3L schematics Gigabyte GA-G31M S2L schematics Gigabyte GA-G31M ES2L schematics Gigabyte GA-EG31M-S2 https://www.gigabyte.com/Motherboard/GA-EG31M-S2-rev-20 Gigabyte GA-EP31 DS3L https://www.gigabyte.com/Motherboard/GA-EP31-DS3L-rev-10 GA-G33M-DS2R https://www.gigabyte.com/Motherboard/GA-G33M-DS2R-rev-1x GA-G31M-S3L https://www.gigabyte.com/Motherboard/GA-G31-S3L-rev-1x GA-G31M-S2L https://www.gigabyte.com/id/Motherboard/GA-G31M-S2L-rev-10 GA-G31M-ES2L https://www.gigabyte.com/id/Motherboard/GA-G31M-ES2L-rev-23/sp Referensi 118b4_EP31-DS3L_Rev.1.0 798c0_G33M-DS2R_R101 2061c_G31-S3L_REV.1.1 509e1_G31M-S2L_R102 03d87_G31M-ES2L_R1.11
Tautan ke penjelasan ChatGPT menurut Stephen Wolfram https://writings.stephenwolfram.com/2023/02/what-is-chatgpt-doing-and-why-does-it-work
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