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Xiaohongshu's Self-GC Cuts Agent Token Costs by 20% Without Losing Critical Context
Xiaohongshu's Self-GC uses a planner LLM to fold, mask, or prune agent context, retaining critical details 84.85% of the time versus 54.55% for rule-based baselines.
Source
DeepLearning.AI
Published
Author
AlphaSignal Newsroom
Read
1 min read
Xiaohongshu's Self-GC uses a planner LLM to fold, mask, or prune agent context, retaining critical details 84.85% of the time versus 54.55% for rule-based baselines.
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