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在经过多轮对话后,历史记录消息往往会激增。由于模型上下文窗口的限制,我们是否可以采用最新的信息压缩技术,在不损耗有效信息及模型理解的同时,尽可能的减少文本字符。
优化现有功能模块
熟悉 python 代码
7人日
The text was updated successfully, but these errors were encountered:
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问题简述
在经过多轮对话后,历史记录消息往往会激增。由于模型上下文窗口的限制,我们是否可以采用最新的信息压缩技术,在不损耗有效信息及模型理解的同时,尽可能的减少文本字符。
期望产出
优化现有功能模块
能力要求
熟悉 python 代码
预计工作量(每个人日按8小时)
7人日
The text was updated successfully, but these errors were encountered: