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趋势
Robot Simulates "High" State by Dynamically Adjusting LLM Sampler with Gas Sensor Data
AI intel briefing
Core summary
One sentence to understand this update
An offline suitcase robot, Sparky, now simulates a "high" state by wiring a real gas sensor directly into its LLM sampler, dynamically adjusting temperature, top_p, and top_k to produce loopier, non-repetitive speech.
Impact & opportunity
What this could mean
This innovative method of using external sensors to dynamically influence LLM output parameters offers builders new approaches for creating more expressive and responsive embodied AI agents and human-robot interactions.
Source
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