- 更新:2023-08-24 13:56:53
- 首发:2023-08-23 23:21:29
- 大模型
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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.
本文目的在于体现当时GPT3的能力,如有定时请求任务需求请使用成熟的任务调度系统。
可以的。目前我的小米眼镜已经坏了,我们一起期待下一代产品。
前者是社区版,现在已经不被支持了,后者是面向企业的版本。如果是个人使用的话,建议还是注册正版RHEL系统,注册后即可正常使用。
大神,请问小米眼镜可以自己更换成适合自己度数的镜片吗?大神,请问小米眼镜可以自己更换成适合自己度数的镜片吗?
大神,centOS和Redhat到底啥区别?听说redhat一个月试用期到了之后,没法yum install安装软件?那换个源可以吗?