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This page (revision-50) was last changed on 25-Dec-2025 11:24 by 14.155.111.65

This page was created on 08-Sep-2022 20:53 by 115.45.138.21

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At line 1 changed one line
小朋友的认知规律是
!!!此版本的核心是把大模型前端的知识库语义检索功能改造成自成长模型(也是具备专家能力的核心)
At line 3 changed 2 lines
3-6岁小朋友是构建自信的阶段
这个阶段的父母首要任务是帮助小朋友找到自己感兴趣的领域，并通过各种使用场景，使小朋友找到乐趣（要尽量减少挫折感），形成自信。
!!training in Inference 和 training after Cognitive conflic 新范式的实现
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!1、改造开源向量数据库
1> 支持维度成长\\
2> 支持精准定位\\
3> 支持精准修改\\
4> 支持动态构建索引\\
\\
__最新进展，方案的基本思路已经确定__\\
!!目标： 五一劳动节前产生公司的第一个专利
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6-12岁小朋友是构建志趣阶段
这个阶段的小朋友在上个阶段构建起了自信的阶段，可以适度且平滑的给予挫折，并鼓励其战胜挫折，形成志趣的阶段
\\
[向量数据库的工程目录|http://192.168.20.61:8282/svn/AI/weaviate]
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!2、改造transformer
1>实现transformer从向量数据库里向量数据加载到模型向量空间（CPU或GPU中）\\
2>实现transformer从模型向量空间（CPU或者GPU中）里，更新数据到向量数据库\\
3>基于符号化理解结构，改造反向传播算法\\
4>识别认知结构冲突\\
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而贯穿所有阶段的认知闭环就是，学的东西，要有找到小朋友感兴趣的使用的场景。不断发展其认知。
!!第二个、第三个和第四个专利已经形成
[transformer工程目录|http://192.168.20.61:8282/svn/AI/transformer]
!3、数据集准备 （数据的质量和规模也决定了是否能形成专家能力，当然自成长模型对数据规模的要求一定小于传统的大模型）
1> 训练集\\
2> 验证集\\
3> 测试集\\
[处理前的数据|http://192.168.20.61:8282/svn/AI/data/dataBefore]\\
[处理后的数据|http://192.168.20.61:8282/svn/AI/data/dataAfter]\\
[工作计划|plan]\\
[模型训练经验总结|train]
!![可解释的自成长模型是通向AGI的唯一路径|selfGrowModel]
Version Date Modified Size Author Changes ... Change note
50 25-Dec-2025 11:24 0.903 kB 14.155.111.65 to previous
49 18-Nov-2025 09:59 0.888 kB 14.153.61.203 to previous | to last
48 01-Aug-2025 17:30 0.868 kB 14.155.115.185 to previous | to last
47 28-Jul-2025 11:05 0.864 kB 14.153.64.87 to previous | to last
46 23-Jul-2025 11:33 0.86 kB 14.155.116.154 to previous | to last
45 11-Mar-2025 17:47 0.845 kB 14.153.92.151 to previous | to last
44 19-Feb-2025 11:33 0.843 kB 14.155.104.16 to previous | to last
43 18-Feb-2025 09:45 0.841 kB 14.153.82.186 to previous | to last
42 08-Feb-2025 14:55 0.843 kB 14.153.90.161 to previous | to last
41 08-Feb-2025 14:55 0.839 kB 14.153.90.161 to previous | to last
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