A team of developers on the AI Dev platform, such as Thomas Wolf, a co -founder and head of the company, say they have created a “open” version of Openai’s Deep Research tool.
The deep research, which was revealed during an event on Sunday, detects the web to draw up research reports on any subject. Although impressive, deep research is currently available only in a limited preview of users registered with Openai’s Chatgpt Pro 200-A-A-Month plan.
The work of the Hugging Face team, which calls Open Deep Research, consists of an AI – Openai’s O1 – and an “open source agency” that helps the model design its analysis and guide it to the use of tools such as search engines. The O1 is a privately owned model (that is, with the API paid), but the team says it delivered better performance than “open” models such as Deepseek R1.
In less than 24 hours, researchers were able to use O1 to use a simple text -based browser and a “Text Inspector” tool to read files across the web. Open deep research can navigate autonomously, the team says, move through pages, manipulate files and even perform calculations with data.
In GAIA, a reference point for AI General Assistants, Open Deep Research achieves a score of 54%. This is compared to the score of Openai Deep Research 67.36%.
I tried open deep research at the public demo The team installed – but it couldn’t work. The page was under heavy load during the publication. After 10 minutes, spit an error message.
But researchers say they have committed to improve the experience and have done the Available source code in GitHub for inspection and feedback.
It is worth noting that there are enough Openai Deep Research “Reproductions” On the internet, some of which are based on open models and tools. The critical element that – and open deep research – is the lack of O3, the model that supports deep research.
Little, if any, the models have won the O3 in reference points related to the answer to complex questions and the collection of information. Without an open model to compete with O3, deep research alternatives may not measure the real thing enough.
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