Try Deep Research and our new experimental model in Gemini, your AI assistant

Today, we’re sharing the latest updates to Gemini, your AI assistant, including Deep Research — our new agentic feature in Gemini Advanced — and access to try Gemini 2.0 Flash, our latest experimental model.

Deep Research uses AI to explore complex topics on your behalf and provide you with findings in a comprehensive, easy-to-read report, and is a first look at how Gemini is getting even better at tackling complex tasks to save you time.1

Deep Research: Your personal AI research assistant is here to help

Doing research online isn’t always easy. Imagine you’re a grad student preparing for your upcoming robotics presentation. You want to get smart on autonomous vehicle sensor trends and understand how different technologies stack up, along with what’s on the horizon. A project like this might take hours of research and cross-referencing a sea of open tabs, that is if you can even find that link you know you put somewhere…

Under your supervision, Deep Research does the hard work for you. After you enter your question, it creates a multi-step research plan for you to either revise or approve. Once you approve, it begins deeply analyzing relevant information from across the web on your behalf.

Over the course of a few minutes, Gemini continuously refines its analysis, browsing the web the way you do: searching, finding interesting pieces of information and then starting a new search based on what it’s learned. It repeats this process multiple times and, once complete, generates a comprehensive report of the key findings, which you can export into a Google Doc. It’s neatly organized with links to the original sources, connecting you to relevant websites and businesses or organizations you might not have found otherwise so you can easily dive deeper to learn more. If you have follow up questions for Gemini or want to refine the report, just ask! That’s hours of research at your fingertips in just minutes.

Earlier this year, we shared our vision of building more agentic capabilities into our products; Deep Research is the first feature in Gemini to bring that vision to life. We’ve built a new agentic system that uses Google's expertise of finding relevant information on the web to direct Gemini's browsing and research. This, coupled with the Gemini model’s advanced reasoning capabilities and our 1M token context window, creates comprehensive reports with helpful, easy-to-read insights.

Deep Research is the perfect tool if you’re an entrepreneur launching a small business and want to quickly gather a competitor analysis and recommendations for suitable locations, or if you’re a marketer researching recent AI-powered marketing campaigns to benchmark for 2025 planning.

Deep Research is rolling out today in Gemini Advanced (starting in English) on desktop and mobile web, and will be available in the mobile app in early 2025. To get started, toggle the model drop-down to “Gemini 1.5 Pro with Deep Research” and enter your research question.

Gemini 2.0 Flash: Try our experimental model

Today we announced Gemini 2.0, our most capable AI model yet. Starting today, all Gemini users can now try out a chat optimized version of Gemini 2.0 Flash Experimental, with enhanced performance on a number of key benchmarks and speed. With this new model, Gemini 2.0 will unlock an even more helpful Gemini assistant. Gemini 2.0 Flash Experimental is accessible via the Gemini model drop-down on desktop and mobile web and will be coming to the Gemini mobile app soon.

While we’re excited for you to try it, remember it’s an early preview and might not work as expected. Additionally, some Gemini features won't be compatible with this model in its experimental state.

A new era of helpful AI

These releases are a significant step forward toward our goal to build the world's most helpful personal AI assistant. They also represent a step towards making our products more agentic; as Gemini gets better and better, it can act on your behalf to get even more done.

Blog Article: Here

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