Training ChatGPT on Private Data: A Technical Reference
📰 Dev.to · Muzammil Shakir
Learn to train ChatGPT on private data using Custom GPTs, RAG, and API-driven assistants
Action Steps
- Build a Custom GPT model using private data
- Configure RAG to integrate with the Custom GPT model
- Evaluate the performance of the Custom GPT model using predefined patterns
- Test the API-driven assistant with the trained Custom GPT model
- Compare the results with other chatbot models to optimize performance
Who Needs to Know This
AI engineers and data scientists can benefit from this knowledge to create customized chatbots for their organizations, while maintaining data privacy and security
Key Insight
💡 Custom GPTs and RAG can be used to create private and secure chatbots, while API-driven assistants enable seamless integration with other systems
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🤖 Train ChatGPT on private data with Custom GPTs, RAG, and API-driven assistants! 📊
Full Article
A breakdown of Custom GPTs, RAG, and API-driven assistants — including evaluation patterns,...
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