# AI-PC-Samples

**Repository Path**: mirrors_intel/AI-PC-Samples

## Basic Information

- **Project Name**: AI-PC-Samples
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: MIT
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2025-04-25
- **Last Updated**: 2025-10-04

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# GenAI AI-PC-Samples

Welcome to the AI PC GenAI Samples Repository.This repository features a curated collection of notebooks designed to demonstrate generative AI workloads on AI PCs. These notebooks are designed to be accessible to a broad audience, including AI creators, artists, engineers, and those who are just curious about Generative AI

## Table of Contents
- LLM
    - [Intel LLM Library for Pytorch on AI PC](./LLM/03_llm_pytorch_gpu.ipynb)
    - [ Llamacpp on Intel GPUs on AI PC](./LLM/06_llm_sycl_gpu.ipynb)
    - [ Ollama on AI PC](./LLM/02_ollama_gpu.ipynb)
    - [Implementing RAG on AI PC](./LLM/04_llm-rag.ipynbb)
    - [Implementing RAG using Lanchain](./LLM/09_rag_langchain.ipynb)
- [Text Summarizer Browser Plugin on AI PC](./Text-Summarizer-Browser-Plugin/TextSummarizerPlugin.ipynb)
- [AI Travel Agent](./AI-Travel-Agent/AI_Travel_Agent.ipynb)
- [AI-Upscaling-With-NPU](./AI-Upscaling-With-NPU/AI_Upscaling_With_NPU.ipynb)
- [Video Description Generation Query Retrieval](./Video-Description-Generation-Query-Retrieval/Video_Description_Generation_Query_Retrieval.ipynb)
- [Genre-driven Storytelling](./Genre-driven-storytelling/Genre-driven-storytelling.ipynb)
- [Finetune Image Captioning](./Finetune_Image_Captioning/finetune_image_captioning.ipynb)
- Web-Apps
    - [WebLLM](/Web-Apps/WebLLM/README.md)
    - [WebNN](./Web-Apps/WebNN/README.md)

## Requirements
To set up your AIPC for running with Intel iGPUs, follow these essential steps:
1. Update Intel GPU Drivers: Ensure your system has the latest Intel GPU drivers
2. Install Visual Studio 2022 Community edition with C++: Visual Studio 2022, along with the “Desktop Development with C++” workload, is required.
3. Install conda-forge: conda-forge will manage your Python environments and dependencies efficiently, providing a clean, minimal base for your Python setup
4. Install CMake

### Hardware
- Intel® Core™ Ultra Processor - Windows 11.

### Software
- Python
- PyTorch
- Jupyter Notebook or Jupyter Lab

## Installation

All the installation steps are provided in the notebooks and will walk you through the process

## Usage

Simply navigate to one of the notebooks to get started! Each notebook comes with comprehensive guides and examples to help you explore the fascinating world of generative AI.