Gemini 2.0 Flash Thinking now has memory and Google apps integration

A few months ago, Google added access to the thinking modes to Gemini Ai Chatbot. Now, GIMINI 2.0 Flash Thinking Experimental access has been expanded to other features of the chat experience as they multiply on context responses.

The company announced that it makes Gemini more personal, connected and useful. It also makes its version of Research, which is looking for the Internet for information, and is widely available for Gemini users.

Deep search will now be supported by Gemini 2.0 Flash Thinking Treexal. “Look in the actual time on how to solve your search tasks.” The company said that this mix will improve the quality of the reports that take place through deep search by providing more details and visions.

Before this update, Gemini 1.5 Pro Powered Deep Research was only available in the Google One Premium plan worth $ 20. However, Carl Franzen from Venturebeat to this version is now less powerful to be a useful researcher.

Gemini is more personal

Gemini 2.0 Flash Thinking will also operate a new possibility called customization.

Specialization is specifically: responses will be more designed for the user by referring to previous conversations or searches. To enable this level of customization, Gemini connects to Google’s Google applications and services, including research and photos. Google confirmed that it will use information from your Google apps only with permission.

“In the coming months, Gemini will expand its ability to understand you by communicating with other Google applications and services, including pictures and YouTube,” said Dave Citron, product management, Gemini App, in a blog post. “This Gemini will provide more personal ideas, and to extract a broader understanding of your activities and preferences to really resonate responses with you.”

Since Guemini 2.0 Flash Thinking, it was included in the customization feature, users can see a detailed scheme for the data sources exploited by the model to answer queries or to complete the requests.

Gemini users can switch other preferences they want to remember Chatbot, such as teaching them to refer to previous conversations or remind them of food restrictions. This allows the Grifini to provide more natural and relevant responses.

Of course, Google is not the only company that realizes the importance of personal and self -related responses. In November, Antarbur launched the advantage of its patterns, which allows people to allocate how Claude talks to them.

More applications connected

Since customization requires access to more data about the user, think about it as a rag, but for a Gemini user instead of an entire institution, with Google connecting more of its services to Gemini 2.0 Flash Thinking Experimental.

The model can click on applications such as calendar, notes, tasks and images.

Citron said: “Through this thinking model, Gemini can better handle complex requests such as claims that include multiple applications, because the new model can lead to the best in demand better, divide it into distinct steps, and evaluate its progress as it goes.”

Google said that within two weeks, Gemini will be able to look at the pictures in Google’s photos and answer questions based on user photos. It can create travel paths based on pictures of modern trips, and remember information such as the expiration date of the driver’s license, or whether you have taken a picture of milk in the store.

Merging applications to provide more context for Chatbot responses was a great direction for artificial intelligence companies. This has been translated into Chatbots granting access to developers or emails in the institution’s space. Chatgpt can open most IDES so that developers can bring their icon from VSCODE and inquire about ChatGPT on this topic. Google coding assistant, symbol help, also connects to IDES.

The integration of the application and the increasing services from Google and the allocation of Gemini emphasizes the importance of context and data in making this chat more useful, even if the query only requests a restaurant recommendation.