Unverified50% confidenceFactExact time
Paritok 采用无损压缩，即在不丢失语义信息的前提下减少 Token 数量
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
8/19/2026
First Seen
Valid until: 11/17/2026
Sources
Related Claims
Unverified上下文压缩的核心思路是在保留关键信息的前提下对历史上下文进行精简或摘要，从而减少每次请求携带的Token量70% similarUnverifiedContext compression technology uses intelligent summarization, redundant information removal, and hierarchical caching to reduce actual Token count fed to models without losing critical information69% similarUnverified字符串替换方式更节省Token，但对文本匹配精确度要求苛刻，一个多余的空格或换行就能让替换失败63% similarUnverified大模型处理文本以Token（词元）为最小处理单元，由分词器完成切分60% similarUnverifiedMarkdown格式相同信息量下Token消耗远低于HTML，且语义结构清晰，模型能更高效地提取关键信息59% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/773223API
curl https://kongchang.com/api/v1/knowledge/claims/773223MCP
get_claim(id=773223)