Gemini with personalization: an even more personal AI assistant from Google | Large language model rankings | Large language models tutorial for beginners | Large language models chatgpt | Turtles AI

Google has introduced a new feature in its AI chatbot, Gemini, that allows it to personalize responses based on users’ search history. The feature, powered by the experimental Gemini 2.0 Flash Thinking model, aims to provide more relevant and personalized responses for each user.

Key points:

• History-based personalization: Gemini can now use search history to tailor responses to users’ individual preferences and interests.
• Integration with other Google apps: The feature will gradually expand to other applications such as YouTube and Google Photos, offering a more integrated and personalized user experience.
• Control and transparency: Users can opt-in or out of personalization at any time and can see how their information is being used to generate responses.
• Global availability: The feature is currently available to Gemini and Gemini Advanced subscribers on the web and will gradually roll out to mobile devices in over 40 languages.

Google recently implemented a feature in its AI chatbot, Gemini, that allows it to personalize responses based on users’ search history. This innovation leverages the Gemini 2.0 Flash Thinking experimental model, designed to improve the chatbot’s reasoning capabilities and provide more relevant responses. With personalization enabled, Gemini automatically analyzes user queries to determine whether search history can enrich the responses it provides. For example, if a user asks for restaurant or travel recommendations, Gemini can reference recent searches for food or destinations to provide more targeted suggestions.

This initiative is part of a larger Google effort to integrate Gemini with other applications such as YouTube and Google Photos, allowing the chatbot to tap into a broader understanding of user activity and preferences. Users maintain control over their information by being able to disconnect their search history from Gemini at any time. Additionally, when a response is provided, a description of how Gemini obtained the information can be displayed, including any references to saved information, past conversations, or search history. A “transparent banner” with a link to disconnect search history provides additional control and transparency. The feature is currently available to Gemini and Gemini Advanced subscribers on the web and will gradually roll out to mobile, covering more than 40 languages ​​in most countries.

In addition to personalization, Google is introducing other new features, including the ability for all Gemini users to create their own personal AI assistants, called Gems, for free. The company also announced an update to the Gemini 2.0 Flash Thinking Experimental model to improve the chatbot’s capabilities across all stages of research. Gemini integrations with apps like Calendar, Notes, Tasks, and Photos will be updated to the new model, joining YouTube, Search, and Google Maps.

To enable personalization, users can select “Personalization (experimental)” from the model drop-down menu in Gemini apps. Once enabled, Gemini will analyze queries to determine if search history can improve responses. It’s important to note that search history will only be used when Gemini’s advanced reasoning models determine that it is actually useful. The feature has been praised by early testers for its usefulness in brainstorming and getting personalized recommendations. Google will continue to gather user feedback to identify the most useful applications of this feature.

To ensure privacy and data control, Gemini will ask for permission before connecting to search history or other apps. Additionally, the model will provide a full overview of how responses are personalized and show which data sources were used. A clear banner with a link to easily disconnect search history provides additional transparency. Users can also view and manage their search history to have complete control over their information.

These updates are designed to make Gemini a personal AI assistant that goes beyond answering general questions, but that understands users, anticipates their needs, and provides truly personalized assistance.