Verified65% confidenceOpinionTime unknown
Large models have an instruction capacity limit, and even top-tier models can only handle approximately 100 instructions simultaneously.
3
Sources
65%
Confidence
Long-term
Relevance
6/2/2026
First Seen
Sources
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Unverified参数量仅10亿至70亿的小语言模型在特定任务上可以逼近参数量百倍于它的大模型71% similarUnverifiedThe single-response output limit for most large language models is concentrated in the range of several thousand to tens of thousands of tokens.70% similarUnverifiedTaking a 1000×1000 weight matrix as an example, if the LoRA rank is set to 8, only approximately 16,000 parameters need to be trained instead of the original 1,000,000 parameters.70% similarUnverifiedSupport messages usually have only a dozen to a few dozen tokens each, and the total length after concatenating 50 of them is often still far below the model's limit, so there is little pressure on context window capacity.70% similarUnverifiedAccording to Bloomberg, the large-model controls cover model weights, source code and other core components of models with a parameter scale of 2 trillion and above, or models ranked in the global top 10 in tests such as performance and safety.69% similar
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