FactoryBench reveals that frontier LLMs achieve under 50% on structured causal questions and under 18% on decision-making in industrial robotic telemetry.
ReAct: Synergizing reasoning and acting in language models
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Portable Agent Memory is a protocol for cryptographically verified, selective transfer of structured memory across heterogeneous AI agents.
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FactoryBench: Evaluating Industrial Machine Understanding
FactoryBench reveals that frontier LLMs achieve under 50% on structured causal questions and under 18% on decision-making in industrial robotic telemetry.
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Portable Agent Memory: A Protocol for Cryptographically-Verified Memory Transfer Across Heterogeneous AI Agents
Portable Agent Memory is a protocol for cryptographically verified, selective transfer of structured memory across heterogeneous AI agents.