Google upgrades Colab using AI Agen tool

Google Colab, the Google notebook -based notebook tool for coding, data science, AI, new “AI Agent”, data science agent, to help Collap users quickly clean data, visualize trends and obtain visions of the downloaded data collections.

It was announced for the first time at the Google I/O developer conference at early last year, the data science agent was initially launched Independent project. However, Google decided to integrate it into Colab with the goal of helping users access the agent directly from the Kulayb book.

Data science agent is available for free from this week in Colab, although Colab limits free users to a relatively low computing amount. Google offers a collection of Colab paid plans with higher borders starting at $ 9.99.

The data science agent primarily aims to data scientists and artificial intelligence cases, but the agent can also help find API homosexuals, customer data analysis and write SQL. All users who need to do is download their data and ask a question to the question.

Data science agent uses the Gemini 2.0 Ai Family on the back interface, as well as “Thinking” tools to help with features of features and clean data. Korevec Techcrunch told that Google is constantly improving the agent and using technologies including reinforcement learning, as well as merge the user suggestions, to enhance the performance of the data science agent.

Data science agent currently supports CSV, JSON or .TXT files under 1 GB. It can analyze about 120,000 symbols in one router, which works to about 480,000 words.

KoreVEC said that the Data Science Agent may reach Google’s applications and services that focus on DeV in the future.

She said, “We are scratching the surface of what people can do here.” “Since he is an agent, we can integrate him into a group of different tools, and I do not necessarily want to force people who are ashamed to look at the code to go to Colab.”