The Intel® AI PC Development Kit is designed to equip AI developers with a comprehensive suite of tools, libraries, and frameworks necessary for building, training, and deploying AI systems.
This kit facilitates the entire AI development lifecycle, from data preprocessing and model training to deployment and monitoring.
This readme file contains information on how to build the installer for the Intel® AI PC Development Kit from the source code.
- Operating System: Windows 11.
- Internet Connection: Required. Please include proxy settings as needed.
- Python: Version 3.10.11 installed with path variable. updated
- System environment variable:
PIP_TRUSTED_HOST= pypi.org files.pythonhosted.org
Follow the below steps:
- Open a command line terminal and clone the repo.
git clone https://github.com/intel/aipc-devkit-install.git
- Change the working directory to the repo folder.
- Create the Virtual environment with python 3.10
python -3.10 -m venv venv
- Activate the Virtual environment
.\venv\Scripts\activate
- Install "pyinstaller" and "pyinstaller_versionfile" modules (Make sure proxy is included as needed)
pip install pyinstaller
pip install pyinstaller_versionfile
- Set a version for the Build
set BuildVersion=1.1.0.0
- Build the installer
cd build
Run Build.bat
installer.exe
anduninstall.exe
is created underdist
folder.
- Copy the
installer.exe
anduninstall.exe
under repo root folder. - Continue with the installation process by following the steps provided in the Installation_Guide.md starting from section 4 - Installation Instructions. This will guide you through the remaining installation steps to complete installation under
C:\Intel\aipcdevkit
. - Once the installation is complete, the AI PC virtual environment will be set up, and Jupyter Notebook will automatically open in your browser.
In Jupiter notebooks browser, navigate to one of the following notebooks and run it to verify correct execution (requires internet connection).
- hello-world\hello-world.ipynb
- llm-chatbot\llm-chatbot.ipynb
- yolov8-optimization\yolov8-instance-segmentation.ipynb
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