New NVIDIA paper says AI models do not always need huge amounts of past conversation history (context) to work well. They show that regularly shortening the history (compaction) keeps accuracy almost the same on hard, long tasks.

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[–] 0 points 4 days ago

It's almost like they're based on averaging or something.

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