- 更新:2023-08-24 13:56:53
- 首发:2023-08-23 23:21:29
- 人工智能
- 1294
The article primarily discusses the types and quality of data required for Supervised Fine-Tuning (SFT). It covers the following aspects:
- Objectives of Supervised Fine-Tuning : Enhancing performance in specific tasks, domain adaptability, and the interpretability and controllability of the model, with an overarching goal to boost system robustness.
- Core Considerations : These include the diversity of data, avoiding treating SFT merely as data supplementation, appropriately incorporating few-shot learning and COT data, emphasizing data quality over quantity in SFT, and recognizing that increasing data volume without diversity brings diminished returns.
- Data Quality Requirements : These considerations touch on the length restrictions for questions and answers, the accuracy of answers, the selection of data based on industry requirements, the diversity of necessary NLP abilities, and the caution against too much vertical domain data.
- Specific Examples : The article provides both good and poor dataset examples to illustrate how to choose and evaluate data.
- Q&A Section : This part explains why including the ability to write code in SFT is essential, emphasizing its importance in improving reasoning and structured output abilities.
In summary, the article offers comprehensive guidance on how to conduct supervised fine-tuning, underlining the importance of data diversity and quality, and presents implementation strategies and examples to support these points.
如遇问题,手动修改上述代码中的版本号为最新版即可。
😄 祝您顺利!
那个设备管理器没有手动添加过时设备了,我直接就重新装了一遍
dcm
我心不死,又重新回来搞这个。
上面的都做好了,windows hello的安装程序闪退(就是闪退做不了),后面还把我sdk客户端里面的Camera Explorer又找不到我的照相机了,我哭死。
能提供一下思路吗,作者大大