待验证95% 置信事实精确时间
The larger the context, the more input Tokens consumed
1
来源数
95%
置信度
长期有效
时效性
2026/8/2
首次发现
来源
涉及实体
相关事实
待验证经过 Attention 处理后得到的向量称为 Contextualized Embedding，能结合上下文让相同 Token 根据语境得到不同表示70% 相似已验证A context window refers to the maximum number of tokens a large language model can process in a single inference68% 相似待验证语义缓存通过将用户请求转化为向量嵌入，在向量空间中计算语义相似度，将语义相近的问题映射到同一缓存结果，从而减少模型调用次数和Token消耗68% 相似待验证In programming scenarios, large amounts of code context including related files, dependencies, and project structure need to be passed as input to the model, causing Token consumption per request to be far higher than in regular conversations.68% 相似待验证Long-context techniques such as ALiBi positional encoding, Ring Attention, and sparse attention have expanded context windows from a few thousand tokens to the million-token range67% 相似
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