/david-share

Primary LanguageJupyter Notebook

david-share

  • Deep-Learning: Includes content on LLM/SLM pre-training, inference, and fine-tuning.
  • GPUs: Includes content on GPU hardware, IB, and RDMA.
  • LLMs: Includes content on LLM and SLM solutions, such as RAG.
  • Multimodal-Models: Includes content on SFT and inference practices of Computer Vision.
  • Code-of-Book: Includes content on code of the book "Principles, Training, and Applications of Large Language Models."

Book Publishing History:

The 5th book was published in Sep, 2024.

Repo Link：https://github.com/xinyuwei-david/david-share/tree/master/Code-of-Book

Purchase Link: https://item.jd.com/14776306.html

The 4th book was published in January 1st，2022.

Repo：https://github.com/xinyuwei-david/FSI-IT-construction

The 3th book was published in Sep 25th，2021.

Repo: https://github.com/ocp-msa-devops/Version-2.git

The 2nd book was published in July 1st，2020.

Repo: https://github.com/xinyuwei-david/Building-Cloud-Native-Applications-with-OpenShift.git

The 1st book was published in Nov 1st，2019.