Hugging Face has announced the development of an open version of OpenAI's deep research tool, named Open Deep Research. This tool is designed to autonomously crawl the web and compile research reports on various subjects, similar to OpenAI's offering, which is currently limited to subscribers of its ChatGPT Pro plan. The Hugging Face team, led by co-founder Thomas Wolf, claims that their version utilizes an AI model and an open-source framework to enhance its analytical capabilities.
Open Deep Research reportedly outperforms some existing open models, achieving a score of 54% on the GAIA benchmark for AI assistants. Despite initial challenges with the public demo, the researchers are committed to refining the tool and have made its source code available on GitHub for community feedback. The project highlights the ongoing competition in AI research tools, particularly in creating accessible alternatives to proprietary models.
• Hugging Face creates an open-source alternative to OpenAI's deep research tool.
• Open Deep Research scores 54% on the GAIA benchmark for AI assistants.
Open Deep Research is an open-source tool developed to autonomously compile research reports from the web.
GAIA is a benchmark used to evaluate the performance of general AI assistants.
An AI model refers to the underlying algorithms and data structures that enable the tool to perform tasks like web crawling and data analysis.
Hugging Face is an AI development platform known for creating open-source tools and models for natural language processing.
OpenAI is a leading AI research organization that develops advanced AI models and tools, including the proprietary deep research tool.
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