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Jingjing X.

Jingjing X.

工科机器学习通识课程实践:分类样本标注、Prompt模板与质控

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Key Skills

Software

Don't disclose

Top Subject Matter

Engineering Machine Learning (classification, prompt templates, training data quality)

Top Data Types

TextText

Top Task Types

Prompt + Response Writing (SFT)Prompt + Response Writing (SFT)

Freelancer Overview

工科机器学习通识课程实践:分类样本标注、Prompt模板与质控. Core strengths include Don't disclose. Education includes Bachelor of Science, Shaanxi University of Science and Technology (2025). AI-training focus includes data types such as Text and labeling workflows including Prompt + Response Writing (SFT).

Labeling Experience

工科机器学习通识课程实践:分类样本标注、Prompt模板与质控

Don't discloseTextTextPrompt + Response Writing (SFT)Prompt + Response Writing (SFT)

在工科机器学习通识课程实践中,完成样本分类标注与训练数据质控,并编写 Prompt 模板支持轻量化分类模型训练。针对模型推理过程中的数据偏差进行定位与修正,形成可复用的标注规则以提升准确率。结合训练全流程理解标注数据对模型效果的影响机制。• 样本分类标注与Prompt模板编写• 训练数据质控与规则迭代• 偏差问题排查与归因分析• 通过标注调整提升推理准确率4.5%

2025 - 2025

Education

S

Shaanxi University of Science and Technology

Bachelor of Engineering, Electrical Engineering and Automation

Bachelor of Engineering
2025 - 2026

Work History

C

Company not specified

基本的编程语言,智能循迹小车制作

Location not specified
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