Google has announced several new features for Gemini users, enhancing both the thinking capabilities and customization options.
First and foremost, Google has upgraded Gemini 2.0 Flash Thinking Experimental to support file uploads, provide detailed step-by-step question answering, and improve responsiveness. Advanced Gemini customers can now utilize up to 1M tokens for analyzing large datasets.
The upgrade to Gemini 2.0 Flash Thinking Experimental also enhances the deep research feature, allowing for detailed work processes and improved thinking steps. Additionally, Google has opened up Deep Research to all users, supporting over 45 languages. Free customers will have limited monthly usage, while Advanced Gemini customers will have expanded access.
Next up is the Personalization feature, where Gemini can tailor information based on each user’s interests through data within the Google ecosystem. For example, Gemini can provide more personalized restaurant recommendations by referencing users’ search histories. Users must opt in to this feature initially, with data sourced from Google Search.
Furthermore, Gemini can now seamlessly integrate with various Google services, including Calendar, Notes, Tasks, and Photos, with the Gemini 2.0 Flash Thinking Experimental model. Gemini can even answer questions based on user’s image data in Google Photos.
Lastly, Google has introduced Gems, a custom AI chatbot creation tool, now available to everyone for free via the Gemini app.
TLDR: Google has introduced new features to Gemini, enhancing thinking capabilities, customization options, deep research, personalization, and AI chatbot creation.
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