Noob Vibe Paper: RETRIEVAL-OF-THOUGHT
Автор: Noob Learning
Загружено: 2025-10-04
Просмотров: 155
Описание:
Ever wondered how AI can think faster while thinking smarter? Discover the revolutionary Retrieval-of-Thought approach that's changing how large reasoning models work!
🚀 **What makes RoT special**: This innovative method reuses previous thinking steps as "thought" components, creating a dynamic thought graph that can be quickly accessed and recombined for new problems.
✨ **How it works**: Instead of starting from scratch, RoT retrieves relevant thinking nodes and uses reward-guided traversal to build custom problem templates - dramatically cutting down on redundant reasoning.
🤖 **Real-world impact**: Tests show RoT reduces output tokens by up to 40%, cuts inference latency by 82%, and lowers costs by 59% while keeping accuracy intact.
Noob Learning: Let's vibe learning together!
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https://arxiv.org/pdf/2509.21743
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