intel/AI-PC-Samples

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
• Llamacpp on Intel GPUs on AI PC
• Ollama on AI PC
• Implementing RAG on AI PC
• Implementing RAG using Lanchain
• Text Summarizer Browser Plugin on AI PC
• AI Travel Agent
• AI-Upscaling-With-NPU
• Video Description Generation Query Retrieval
• Genre-driven Storytelling
• Finetune Image Captioning
• Web-Apps
• WebLLM
• WebNN

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.