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How much information do LLMs really memorize? Now we know, thanks to Meta, Google, Nvidia and Cornell
Using a clever solution, researchers find GPT-style models have a fixed memorization capacity of approximately 3.6 bits per parameter.
EE World Online19h
Trace analysis tool integrates with Zephyr built-in tracing infrastructure for thread timing metrics
Percepio has released Percepio View for Zephyr, a trace visualization tool for embedded systems running the Zephyr RTOS. The software provides diagnostic capabilities for analyzing system behavior and ...