
Large reasoning models are developed to solve difficult problems by breaking them down into smaller, manageable steps and solving each step individually. The models use reinforcement learning to enhance their reasoning abilities and develop very detailed and logical solutions. However, while this method is effective, it has its challenges. Overthinking and error in missing or […]
The post Meet Search-o1: An AI Framework that Integrates the Agentic Search Workflow into the o1-like Reasoning Process of LRM for Achieving Autonomous Knowledge Supplementation appeared first on MarkTechPost.
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