資料隱私當道：用本地 AI 保護你的資料

Why Use Local AI

Using cloud-based AI is convenient, but when you upload company secrets, customer personal data, or unreleased information, there's a risk of leakage or the data being used for training. Local AI (running on your own computer or server) allows your data to stay within your environment.

How to Get Started with Local AI

The simplest way for beginners:

• Ollama: Run open-source models on your computer with just one command, completely offline.
• LM Studio: A user-friendly graphical interface where you can download models and start chatting.
• Jan, Msty: Open-source, useful local AI desktop applications.

Scenarios Suitable for Local AI

• Handling customer personal data, contracts, financial information, and other sensitive content
• Industries with high privacy requirements, such as healthcare, law, and finance
• Individuals and companies that don't want their input used for training purposes

Mental Preparation

• Hardware requirements: Larger models consume more memory and GPU power, but smaller models can run on ordinary computers.
• Slightly inferior to top-notch closed-source models: However, they are sufficient for daily tasks and continue to improve.

Compromise

Use local AI for sensitive data and cloud-based AI for general tasks, balancing privacy and capability.

Conclusion

Privacy shouldn't be the cost of using AI. Try running a model on your computer using Ollama or LM Studio, and you'll find that "using AI without leaking data" isn't that difficult. For further reading: Privacy and Security Considerations for Using AI Tools, The Rise of Open-Source AI Models.

Compromise

It doesn't have to be an either-or situation: use local AI for sensitive data and cloud-based AI for general tasks, balancing privacy and capability, which is the most practical approach.

Conclusion

Privacy shouldn't be the cost of using AI. Try running a model on your computer using Ollama or LM Studio, and you'll find that "using AI without leaking data" isn't that difficult. For further reading: The Rise of Open-Source AI Models.