Hugging Face, an AI development company, created an open-source AI research agent that can rival OpenAI's Deep Research feature in just 24 hours. The agent, named Open Deep Research, utilizes an innovative 'agent' framework that writes actions in code, leading to improved performance. While Open Deep Research's accuracy on benchmark tests is slightly lower than OpenAI's version, the rapid development and open-source nature of Hugging Face's model challenge the dominance of proprietary AI tools.
AI developer Hugging Face says it's created an open-source AI research agent that can trade blows with OpenAI's latest Deep Research feature — in just 24 hours., which "uses reasoning to synthesize large amounts of online information and complete multi-step research tasks for you," over the weekend., but we're just going to go ahead and do so because it looks bizarre not to — sits on top of an existing AI model to provide new functionality to the user.
The company created an "agent" framework" that writes actions in code instead, which it says immediately led to a major bump in performance. It's not perfect quite yet, it's worth pointing out. Hugging Face's Open Deep Research scored a 55.15 percent accuracy on a benchmark called General AI Assistants, while OpenAI's version scored 67.36, leaving some room for improvement. free-to-use Gemini 2.0 Flash Thinking Experimental reasoning model.
The team trained s1 using a dataset of just 1,000 curated questions with answers from Google's AI. It took less than 30 minutes to achieve strong performance on AI benchmarks, asinto initiatives to expand AI infrastructure in the US, enormous investments that were thrown into question by the emergence of much cheaper to train and run alternatives like DeepSeek.
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