Google's Gemini Deep Research is now available to everyone

Google releases the Gemini Deep Research feature to all users.

: Google's Gemini Deep Research tool is now accessible to everyone in over 45 languages at no cost. Originally using the Gemini 1.5 Pro model, the feature now runs on the upgraded Gemini 2.0 Flash model, offering detailed and comprehensive reports on complex topics. The new Gemini with personalization feature allows AI responses based on user data from Google apps, with future improvements promising to draw from services like Photos and YouTube. Gemini users can enable this personalization in the settings, with easy opt-out options.

Google has expanded access to its Gemini Deep Research feature, now available for free to users in more than 45 languages. This tool, first introduced at the end of the previous year, allows users to generate detailed reports on complex subjects. Unlike the typical rapid chatbots, Deep Research takes a more deliberate approach, designing a research plan before gathering data, ultimately producing more comprehensive insights. Initially operating on the Gemini 1.5 Pro model, the recent release employs the updated Gemini 2.0 Flash Thinking Experimental model. This model enhances Gemini's functions across various research stages, providing richer, multi-page reports.

Igor Bonifacic of Engadget reports that this upgraded system utilizes what Google describes as a 'chain-of-thought system' that deconstructs problems into manageable steps. This systematic approach is designed to increase the depth and quality of the reports generated by Gemini. Users looking to probe various topics can expect more sophisticated reasoning and a more thorough analysis, reflecting the enhancements brought by the new model. Google's proactive expansion of this feature places it ahead of competitors like OpenAI, particularly in the realm of available research tools.

The announcement also introduced a new experimental feature called Gemini with personalization. This feature employs the Gemini 2.0 Flash model to allow the system to refine its responses using data from the user's Google apps and services. By leveraging past search histories and potentially expanding to integrate other Google services like Photos and YouTube, the AI aims to provide more nuanced and accurate answers based on individual preferences. Google assures users that this feature is optional, and a banner link offers an easy way to disable it if they find it intrusive.

To access the new personalization features, users must select 'Personalization (experimental)' in the Gemini Apps interface model drop-down menu. According to Google, the AI only uses search history data when deemed potentially beneficial for the user. By providing this capability, Google aims to save users time and deliver answers that better align with their interests and past queries.

Looking forward, Google plans to continue enhancing Gemini's capabilities by integrating a broader range of data from its service suite, enabling a smarter, more personalized user experience. The feature is now available for both Gemini and Gemini Advanced users on the web, with a mobile rollout anticipated in the near future, ensuring broader availability across devices. This move keeps Google at the forefront of AI research tools, expanding its utility by personalizing research and delivering tailored insights to its extensive user base.

Sources: Engadget, Google's Official Blog

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