Unverified60% confidenceFactTime unknown
Taking GPT-4o as an example, if a summary is triggered every round of dialogue, a long conversation of 100 rounds may generate dozens of additional LLM calls.
2
Sources
60%
Confidence
Long-term
Relevance
5/31/2026
First Seen
Sources
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Related Claims
UnverifiedREMORY's training data comes from 12TB of multi-turn conversations, with the summarization step performed by GPT-4-Turbo compressing each conversation to 250 tokens.76% similarVerifiedWith the introduction of models such as GPT-4 and GPT-4o, the length and information density of a single ChatGPT response have increased significantly.74% similarVerifiedGPT-4-level large language models have hundreds of billions of parameters and require billions of floating-point operations on high-end GPUs (such as NVIDIA A100/H100) for each response.73% similarUnverified128K上下文窗口意味着模型可以在单次对话中处理约6.4万汉字，早期GPT-4仅支持8K上下文73% similarUnverifiedThe inference cost of a single long conversation with a GPT-4-level model can reach several cents.72% similar
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