EPISODE · May 31, 2026 · 8 MIN
EP219: OpenSeeker-v2 vs AI Giants
from Learning GenAI via SOTA Papers - Video · host Yun Wu
Title: OpenSeeker-v2: Pushing the Limits of Search Agents with Informative and High-Difficulty TrajectoriesSource: http://arxiv.org/abs/2605.04036v1Summary:This paper establishes a high-efficiency paradigm for training frontier search agents using only supervised fine-tuning on high-quality synthesized trajectories, challenging resource-intensive industry standards. It provides a foundational methodology for achieving state-of-the-art agentic reasoning and search capabilities with significantly reduced computational requirements.
What this episode covers
Title: OpenSeeker-v2: Pushing the Limits of Search Agents with Informative and High-Difficulty TrajectoriesSource: http://arxiv.org/abs/2605.04036v1Summary:This paper establishes a high-efficiency paradigm for training frontier search agents using only supervised fine-tuning on high-quality synthesized trajectories, challenging resource-intensive industry standards. It provides a foundational methodology for achieving state-of-the-art agentic reasoning and search capabilities with significantly reduced computational requirements.
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EP219: OpenSeeker-v2 vs AI Giants
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