OPENAI, a research organization on artificial intelligence, has announced the deployment of a new feature fueled by AI entitled “Deep research” with Chatgpt, to help users manage complex tasks.
Deep Research uses reasoning to synthesize large amounts of online information and perform search tasks in several steps for users. This feature is available for professional users today, with another further deployment and team users. In addition, it is available on the web chatgpt and will be deployed on mobile and office applications during the month.
Announces the launch of the functionality, Openai wrote via a blog article,
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“Today, we are launching in -depth research in Chatgpt, a new agentic capacity that conducts research in several stages on the Internet for complex tasks. He accomplishes in the tens of minutes which would take a human of many hours. Deep Research is the next Openal agent who can work independently – you give him an prompt, and the cat cat will find, analyze and synthesize hundreds of online sources to create a complete report at the level of a analyst of research.
“Powered by a version of the Upcoming Open Al O3 Model That’s Optimized for Web Browsing and Data Analysis, It Leverages Reasoning to Search, Interpret, and Analyze Massive Amants of Text, Images, and Pdfs On The Internet, Pivoting As Needed in Reaction To Reaction To Reaction To Reaction To Reaction To Reaction To Reaction To Reaction To Reaction To Reaction To Reaction To Reaction To Reaction To Reaction To Reaction To Reaction To Reaction To Reaction To Reaction To Reaction To Reaction To Reaction To Reaction To Reaction information he meets. The ability to synthesize knowledge is a prerequisite for creating new knowledge: for this reason, in -depth research marks an important step towards our broader objective of developing AG, which we have long imagined as capable of producing new scientific research ».
OPENAI revealed that “in -depth research” has been launched to help people who make intensive knowledge in fields such as finance, science, politics and engineering and need in -depth, precise and reliable research. This new The functionality aims to rationalize complex and prolonged surveys by exploring and autonomously consolidating information through the web. Beyond professional use, in-depth research is also suitable for demanding buyers who need hyper personalized recommendations for major purchases such as Like cars, household appliances and furniture.
What distinguishes in -depth research is its ability to provide fully documented results, with clear quotes and a detailed summary of its reasoning process. This guarantees transparency, which allows users to reference and easily check the information. The tool excels in discovering a niche, not intuitive Details that generally require traveling several sources, which ultimately allows users of time and effort. To achieve this level of sophistication, in -depth research has been formed on real tasks that require web browsing and a Python -based data analysis.
It is based on the learning techniques of the strengthening used to develop the first model of Openal reasoning, O1, which has demonstrated exceptional capacities in coding, in mathematics and in other technical fields. While the O1 excels in resolving logical problems, many challenges of the real world involve shattered large amounts of information between different sources.
Deep research fills this gap, combining advanced reasoning with in -depth contextual analysis to effectively tackle complex questions. In an internal assessment of tasks at the expert level in a range of fields, in -depth research was evaluated by experts in the field for automated several hours of difficult manual survey. The deployment of deep research gives OPENAI a significant competitive advantage, in particular the light of competitors like Deepseek.
Looking later, the startup revealed that it envisages agent experiences meeting in the Chatppt for asynchronous and real research. The combination of in -depth research, which can carry out an asynchronous online survey, and the operator, which can take real measures, will allow Chatgpt to carry out more and more sophisticated tasks for users.
