Chatbot
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| Stable Diffusion Webui | 103,617 | 14 hours ago | 2 | January 17, 2022 | 1,532 | agpl-3.0 | Python | |||
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| Vit Pytorch | 15,201 |  | 6 | 17 days ago | 169 | July 25, 2023 | 110 | mit | Python | |
| Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch | ||||||||||
chatbot
ChatGPT带火了聊天机器人，主流的趋势都调整到了GPT类模式，本项目也与时俱进，会在近期更新更新GPT类版本。 这是一个可以使用自己语料进行训练的中文聊天机器人项目，欢迎大家实践交流以及Star、Fork。
Seq2Seq版本效果参考（训练进度50%）
RoadMap:
V1.1:Update:2023-09-30
1)增加MindSpore版本，优先在MindSpore版本上引入GPT模型，RLHF等特性。
2）整体工程架构分为Seq2Seq和GPT两大分支，继续保持多AI框架版本演进。
V1.2:Update:2024-3-30(Maybe)
1）实现类似mini-GPT4的功能，可以进行图文多模态的对话，主要提升趣味性和丰富性。
2）增强分布式集群训练相关能力和RLHF等特性。
seq2seq版本代码执行顺序
大家可以使用小黄鸡的语料，下载地址https://github.com/zhaoyingjun/chatbot/blob/master/chineseChatbotWeb-tf2.0/seq2seqChatbot/train_data/xiaohuangji50w_nofenci.conv
1）、在下载好代码和语料之后，将语料文件放入train_data目录下，超参配置在config/seq2seq.ini文件中配置。。
2）、按照数据预处理器（data_utls.py)-->execute.py(执行器)-->app.py（可视化对话模块）的顺序执行就可以了。
3）、大规模分布式训练版本，参照horovod的启动方式 horovodrun -np n -H host1_ip:port,host2_ip:port,hostn_ip:port python3 excute.py
建议训练环境配置
ubuntu==18.04
python==3.6
TF2.X:
tensorflow==2.6.0
flask==0.11.1
horovod==0.24(分布式训练)
pytorch:
torch==1.11.0
flask==0.11.1
开源交流、联系方式
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QQ：934389697
