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Google to Introduce Gemini Enterprise and Gemini Business Plans for Workspace
Google to Introduce Gemini Enterprise and Gemini Business Plans for Workspace
Data Diet Plan

Google to Introduce Gemini Enterprise and Gemini Business Plans for Workspace

Google won't use conversations or enterprise data to train the Gemini model

Published Updated

Key takeaways

  • Introduce Gemini Enterprise and Business plans, enhancing Google Workspace with advanced features.
  • Ensure data privacy by not using conversations or enterprise data to train the Gemini model.
  • Allow administrators to manage Gemini settings through the Google Workspace admin console.
  • Enable users to edit and run Python code snippets directly in Gemini's interface for learning and verification.
  • Highlight Gemini 1.5's superiority over ChatGPT and Claude with a 1 million token context window.
5 min

Google is poised to unveil Gemini Enterprise and Gemini Business plans, providing Google Workspace customers with access to Gemini Ultra 1.0, along with enterprise-grade data protections,  according to a leaked update posted on X by Dylan Roussel, an Android developer. 

https://twitter.com/evowizz/status/1759690336845037869?t=fBDGtLurgKHSiy9JVNt8qQ&s=15

With this plan, Google won't use conversations or enterprise data to train the Gemini model, allowing businesses to confidently utilise Gemini in their work environments. Administrators would be able manage Gemini settings via the Google Workspace admin console.

Moreover, in the recently released Gemini Advanced, users can now edit and run Python code snippets directly in Gemini's user interface. This allows them to experiment with the code, observe how changes affect the output, and verify that the code works as intended.

This functionality is designed to cater to both learning and verification needs. Students can leverage this capability to experiment with code examples, gaining a deeper understanding of how modifications impact outputs. 

Meanwhile, developers can efficiently verify the functionality of generated code within Gemini before implementation, saving time and ensuring the reliability of the code.

Google recently released Gemini 1.5. This new model outperforms ChatGPT and Claude with 1 million token context window — the largest ever seen in natural processing models. In contrast, GPT-4 Turbo has 128K context window and Claude 2.1 has 200K context window.

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