Researchers trained a Deep Research agent with 32 H100s and open-sourced everything
Mirrored from r/LocalLLaMA for archival readability. Support the source by reading on the original site.
| | Ohio State University's NLP team released QUEST-35B, an open-source Deep Research agent trained using ~32 H100s and ~8K synthetic samples. The team open-sourced the training recipe, code, weights and datasets. Benchmark results show competitive performance against several frontier Deep Research systems. What do you think is the biggest remaining gap between open-source Deep Research agents and frontier closed systems? Source: Professor Yusu [link] [comments] |
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