Training Your Own LLM using privateGPT
privategptlocal-llmdata-privacyfine-tuning
Abstraction: Running a private local LLM on sensitive data without cloud exposure
Key points:
- Companies face data-privacy risk when sending proprietary data to public LLM providers like OpenAI
- privateGPT is an open-source project allowing local LLM use that answers questions like ChatGPT without uploading data
- Ideal for training on internal data such as sales insights or customer feedback
- Addresses the core enterprise adoption barrier: avoiding exposure of sensitive data to third-party AI providers
- Article by Wei-Meng Lee (2023-05-19) as a tutorial walkthrough
Connections: Openai · Chatgpt · Privategpt · Large Language Models · Data Privacy · Local AI Inference
Source: https://levelup.gitconnected.com/training-your-own-llm-using-privategpt-f36f0c4f01ec