Build a Custom AI Model of Your Work: The New AI Trend
Full practical guide on building your personal AI
TL;DR
- Startups and researchers are building custom AI models on open-weight foundations instead of relying solely on large AI companies.
- This approach offers more control over costs, prevents risks of API changes or access restrictions, and ensures ownership of business intelligence.
- Building a custom AI model doesn't mean creating a new ChatGPT; it means fine-tuning an existing open-weight model for specific tasks.
- Examples of custom AI tasks include drafting newsletters from research, generating company-approved responses to customer emails, or creating weekly reports from meeting notes.
- Before training a custom model, explore simpler methods to solve the task.