AI brief
Apple Machine Learning Research describes a problem in language model agents where long traces of chains of thought and tool calls accumulate stale content and eventually exceed the context window. Existing scaffolds handle this with fixed-interval compaction triggered at a token threshold.
Written by AI from Apple Machine Learning Research's published text.
Source
“Long agent traces composed of chains of thought and tool calls accumulate stale content that anchor subsequent generations, and eventually outgrow the context window. Existing scaffolds mitigate it with fixed-interval compaction triggered at a token threshold.”
A paper, laboratory publication or research report.
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