There's some possible confusion because of the Copilot problem where everything in the product stack is called Gemini. The Gemini API (or Generative Language A

There's some possible confusion because of the Copilot problem where everything in the product stack is called Gemini. The Gemini API (or Generative Language API) as documented on https://ai.google.dev https://ai.google.dev uses https://ai.google.dev/gemini-api/terms https://ai.google.dev/gemini-api/terms for its terms. Paid usage, or usage from a UK/CH/EEA geolocated IP address will not be used for training. Then there's Google Cloud's Vertex AI Generative AI offering, which has https://cloud.google.com/vertex-ai/generative-ai/docs/data-governance https://cloud.google.com/vertex-ai/generative-ai/docs/data-g.... Data is not used for training, and you can opt out of the 24 hour prompt cache to effectively be zero retention. And then there's all the different consumer facing Gemini things. The chatbot at https://gemini.google.com/ https://gemini.google.com/ (and the Gemini app) uses data for training by default: https://support.google.com/gemini/answer/13594961l https://support.google.com/gemini/answer/13594961l, unless you pay for Gemini Enterprise as part of Gemini for Workspace. Gemini in Chrome DevTools uses data for training (https://developer.chrome.com/docs/devtools/console/understand-messages?s=1#data-use https://developer.chrome.com/docs/devtools/console/understan...). Enterprise features like Gemini for Workspace (generative AI features in the office suite), Gemini for Google Cloud (generative AI features in GCP), Gemini Code Assist, Gemini in BigQuery/SecOps/etc do not use data for training.