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Gemini 2.0 now available to Google Colab users

Google has announced a significant update to its cloud-based tool for programming, data science, and artificial intelligence — Google Colab. Starting this week, all users gain access to the new “Data Science Agent” tool — an AI agent specifically designed to help quickly clean data, visualize trends, and obtain valuable analytical insights from uploaded datasets.

As Katie Korwek, Google Labs Product Director, reported, Data Science Agent was initially launched as a standalone project after being announced at the Google I/O developers conference early last year, but later the company decided to integrate it directly into Colab so users could access the agent directly from their work notebooks.

“We’re just beginning to unlock the possibilities of what people can do with this technology,” Korwek noted in an interview.

Technically, Data Science Agent relies on the Google Gemini 2.0 AI model family and uses special “reasoning tools” to help with feature extraction and data cleaning tasks. According to Google representatives, the agent is constantly improving thanks to reinforcement learning technologies and the integration of user suggestions.

It’s important to note that Data Science Agent is available for free within Colab, although free users have limitations on computational resources. Google offers various paid Colab plans with increased limits, starting at $9.99.

The agent’s technical capabilities are impressive: it can analyze CSV, JSON, or .txt files up to 1 GB in size and process about 120,000 tokens in a single request, which corresponds to approximately 480,000 words.

Although Data Science Agent is predominantly oriented toward data specialists and artificial intelligence tasks, its capabilities extend beyond these boundaries. The agent can identify anomalies in APIs, analyze user data, and write SQL code. To work with the tool, users simply need to upload their data and ask the agent a question.

According to Korwek, in the future, Data Science Agent may appear in other Google products oriented toward developers: “Since it’s an agent, we can integrate it into various tools. I don’t want to force people who are shy about looking at code to necessarily go to Colab.”

Autor: AIvengo
For 5 years I have been working with machine learning and artificial intelligence. And this field never ceases to amaze, inspire and interest me.
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