Run your own AI (but private)

Summary by Krater

NetworkChuck demonstrates how to run large language models locally and privately using Ollama and fine-tune them with VMware Private AI Foundation with NVIDIA, showcasing private document querying and local AI execution without sharing data.

From the video

Answers: How can I run and fine-tune private AI models locally on my own computer?

• Running local large language models with Ollama
• Fine-tuning LLMs with VMware Private AI Foundation
• Connecting local AI to private document knowledge bases using RAG
• Hardware requirements and GPU support for private AI models

What it concludes

• Running local AI models with tools like Ollama allows users to run LLMs completely privately and offline without sharing data with third-party companies.
• Fine-tuning a pre-trained LLM requires significantly less compute, time, and data than training a model from scratch.
• VMware Private AI Foundation provides an enterprise solution combining infrastructure, GPU monitoring, and tools to run and fine-tune LLMs locally.
• Retrieval-Augmented Generation (RAG) connects an LLM to a local database or knowledge base so it can accurately answer questions about private documents without retraining the model.