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superqing
8fca8d54b2
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2 years ago | |
|---|---|---|
| .. | ||
| continuous | 2 years ago | |
| finetune | 2 years ago | |
| generate | 2 years ago | |
| incontext | 2 years ago | |
| kgenhance | 2 years ago | |
| modelcompress | 2 years ago | |
| prompttune | 2 years ago | |
| README.md | 2 years ago | |
| README_EN.md | 2 years ago | |
| __init__.py | 2 years ago | |
README.md
算法层&任务层
中文|English
简介
此目录包含算法层&任务层的实现，应用算法常以一个任务做为实现实例，因此算法层和任务层在实现上归为一层。
内容导引
| 算法 | 项目 | 描述 |
|---|---|---|
| Model compression | [目录位置]] | |
| Fine tuning | [目录位置]] | |
| Prompt tuning | [目录位置]] | |
| Incontext few shot learning | [目录位置] |
规划与现状
小样本模型迁移
句子关系
| 模型 | 算法 | CMNLI |
|---|---|---|
| 鹏城·盘古 | Fine tuning | 完成 |
| 鹏城·盘古 | Prompt tuning | 完成 |
| 鹏城·盘古 | Incontext few shot learning | 完成 |
注：
CMNLI: 自然语言推理中文版[CLUE: A Chinese Language Understanding Evaluation Benchmark]。
其他任务
注：规划中
模型压缩
持续学习
其他
鹏程系列大模型的应用技术，从基本技术到应用提供baseline，包括模型的训练推理、finetune\promptune\fewshot learning、模型压缩以及下游任务应用等，促进预训练模型的应用创新。
Python C++ Text Shell Markdown other
