Running AI Locally: What It Means and When to Consider It

Open Source AI and Data Transparency · 4 min · text

Course outline

1. How AI Processes Information

• What Is a Token and Why Does It Matter?
• How AI Models Are Trained
• The Context Window: Your AI's Working Memory
• Modules 1 and 2 Quiz

2. Privacy: What You Share and What Happens to It

• What AI Companies Do With Your Conversations
• What Not to Share With AI
• Keeping Work and Life Separate: Project Chats and Private Mode

3. Open Source AI and Data Transparency

• What Is Open Source AI?
• Running AI Locally: What It Means and When to Consider It
• Open-Weight Models When Data Must Stay In-House

4. Guardrails, GDPR and Data Governance

• What Guardrails Are and How They Work
• GDPR and AI: What You Need to Know
• Building a Data Governance Approach for AI
• Modules 3 and 4 Quiz