Hello, community!
We work with private data that must remain on our local servers due to strict data privacy regulations. We’re exploring the possibility of using Gemini for fine-tuning our models but need to ensure that all computations and data handling occur locally on our company’s hardware and HPC.
My specific questions are:
- Does Gemini support local fine-tuning without any external data transmission?
- Are there specific tools, configurations, or APIs provided by Gemini to enable such secure, private fine-tuning workflows?
- How does this compare to fine-tuning other models like Llama in terms of ease, performance, and system requirements for on-premise use?
Thanks in advance!