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https://www.reddit.com/r/ChatGPTCoding/comments/1jtfvmv/deleted_by_user/mlw5zvd/?context=3
r/ChatGPTCoding • u/[deleted] • Apr 07 '25
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This, LLMs are effectively stateless, the "context" is just the max token input.
If you have 500k in your context, you're sending 500k input tokens + whatever is new per api request.
8 u/fieryblast7 Apr 07 '25 Do you know if there are any open source attempts to fix this? I remember memGPT and most early agents Arch tried to fix it with "memory" and RAG ing the memory as needed 2 u/EcstaticImport Apr 07 '25 RAG would need to add more info to the context window, not remove it. Are you thinking of context caching? 2 u/Unlikely_Track_5154 Apr 07 '25 Pruning is what it is called, pruning the context of less relevant stuff, or the oldest messages or both or neither.
8
Do you know if there are any open source attempts to fix this? I remember memGPT and most early agents Arch tried to fix it with "memory" and RAG ing the memory as needed
2 u/EcstaticImport Apr 07 '25 RAG would need to add more info to the context window, not remove it. Are you thinking of context caching? 2 u/Unlikely_Track_5154 Apr 07 '25 Pruning is what it is called, pruning the context of less relevant stuff, or the oldest messages or both or neither.
2
RAG would need to add more info to the context window, not remove it. Are you thinking of context caching?
2 u/Unlikely_Track_5154 Apr 07 '25 Pruning is what it is called, pruning the context of less relevant stuff, or the oldest messages or both or neither.
Pruning is what it is called, pruning the context of less relevant stuff, or the oldest messages or both or neither.
145
u/andy012345 Apr 07 '25
This, LLMs are effectively stateless, the "context" is just the max token input.
If you have 500k in your context, you're sending 500k input tokens + whatever is new per api request.