I’m starting to realize just how important it is to understand context sizes, context rot, context compression & similar behaviors to understand why these models often fall short Eg why it is tha
Why CEREBRO kept it
Context behavior deep-dive, why models degrade at scale.
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Eg why it is tha
> Context behavior deep-dive, why models degrade at scale.
I’m starting to realize just how important it is to understand context sizes, context rot, context compression & similar behaviors to understand why these models often fall short
Eg why it is that you give it a large block of stuff and the model “forgets” about parts of it etc
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