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Hugging Face Clones OpenAI's Deep Research in 24 Hr
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Open source “Deep Research” task proves that agent structures boost AI model capability.
On Tuesday, Hugging Face scientists launched an open source AI research agent called “Open Deep Research,” produced by an in-house team as a difficulty 24 hr after the launch of OpenAI’s Deep Research feature, which can autonomously browse the web and create research reports. The task seeks to match Deep Research’s efficiency while making the technology easily available to developers.
“While powerful LLMs are now easily available in open-source, OpenAI didn’t disclose much about the agentic framework underlying Deep Research,” writes Hugging Face on its announcement page. “So we chose to embark on a 24-hour objective to reproduce their results and open-source the required framework along the method!”
Similar to both OpenAI’s Deep Research and Google’s execution of its own “Deep Research” utilizing Gemini (initially introduced in December-before OpenAI), Hugging Face’s option includes an “agent” structure to an existing AI model to enable it to perform multi-step jobs, [mariskamast.net](http://mariskamast.net:/smf/index.php?action=profile
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