Build a Private AI Notebook скачать в хорошем качестве

Build a Private AI Notebook

The source details the architecture for a *Local NotebookLM Alternative System**, a self-hosted, private solution designed to replicate and expand upon Google's document analysis and generation capabilities using existing Proxmox infrastructure. The core architecture relies on a **Multi-VM Proxmox Deployment**, logically separating functions into distinct virtual machines for **Document Processing**, **LLM Inference**, **Audio Generation**, and **Orchestration* via a FastAPI backend. Key features include the use of various open-source large language models (like Llama 3.1 and Mistral), text-to-speech options (such as XTTS and Bark) for podcast generation, and a defined pipeline for ingesting documents, generating embeddings, and creating multi-modal content like video. The document also provides specific hardware recommendations, including GPU requirements for inference, and a *Phased Development Roadmap* spanning several months for full system implementation. [Link to full PDF below] Full project description: https://drive.google.com/file/d/1lbAM...