[SAMPLE] Nexdata | Foundation Data Collection and Data Annotation | LLM Data| SFT Data | RHLF | ...

1. Overview
- Unsupervised Learning: For the training data required in unsupervised learning, Nexdata delivers data collection and cleaning services for both single-modal and cross-modal data. We provide Natural Language Processing (NLP) Data cleaning and personnel support services based on the specific data types and characteristics of the client's domain.

-SFT: Nexdata assists clients in generating high-quality supervised fine-tuning data for model optimization through prompts and outputs annotation.

-Red teaming: Nexdata helps clients train and validate models through drafting various adversarial attacks, such as exploratory or potentially harmful questions. Our red team capabilities help clients identify problems in their models related to hallucinations, harmful content, false information, discrimination, language bias and etc.

-RLHF: Nexdata assist clients in manually ranking multiple outputs generated by the SFT-trained model according to the rules provided by the client, or provide multi-factor scoring. By training annotators to align with values and utilizing a multi-person fitting approach, the quality of feedback can be improved.

2. Our Capacity
-Global Resources: Global resources covering hundreds of languages worldwide

-Compliance: All the Natural Language Processing (NLP) Data are collected with proper authorization

-Quality: Multiple rounds of quality inspections ensures high quality data output

-Secure Implementation: NDA is signed to gurantee secure implementation and data is destroyed upon delivery.

-Efficency: Our platform supports human-machine interaction and semi-automatic labeling, increasing labeling efficiency by more than 30% per annotator. It has successfully been applied to nearly 5,000 projects.

3.About Nexdata
Nexdata is equipped with professional data collection devices, tools and environments, as well as experienced project managers in data collection and quality control, so that we can meet the Natural Language Processing (NLP) Data collection requirements in various scenarios and types. We have global data processing centers and more than 20,000 professional annotators, supporting on-demand Natural Language Processing (NLP) Data annotation services, such as speech, image, video, point cloud and Natural Language Processing (NLP) Data, etc. Please visit us at https://www.nexdata.ai/?source=Datarade

1. 概述
- 无监督学习：针对无监督学习所需的训练数据，Nexdata可为单模态及跨模态数据提供数据采集与清洗服务。我们可根据客户所属领域的特定数据类型与特征，提供自然语言处理（Natural Language Processing，NLP）数据清洗及人员支持服务。
- 监督微调（Supervised Fine-Tuning，SFT）：Nexdata可协助客户通过提示词与输出标注，生成用于模型优化的高质量监督微调数据。
- 红队测试（Red Teaming）：Nexdata可通过草拟各类对抗性攻击方案（如探索性或潜在有害问题），协助客户开展模型训练与验证工作。我们的红队测试能力可帮助客户识别模型在幻觉、有害内容、虚假信息、歧视及语言偏见等方面存在的问题。
- 基于人类反馈的强化学习（Reinforcement Learning from Human Feedback，RLHF）：Nexdata可协助客户依据客户提供的规则，对经监督微调训练的模型生成的多个输出进行人工排序，或提供多维度评分。通过培训标注人员对齐目标价值观，并采用多人拟合的方式，可提升反馈数据的质量。
2. 我们的能力
- 全球资源：覆盖全球数百种语言的资源布局
- 合规性：所有自然语言处理（NLP）数据均通过正规授权完成采集
- 质量保障：历经多轮质量检查，确保输出数据的高品质
- 安全实施：将与客户签署保密协议（Non-Disclosure Agreement，NDA）以保障数据处理安全，且数据将在交付后予以销毁
- 效率提升：我们的平台支持人机交互与半自动标注，可使每位标注人员的标注效率提升30%以上，该方案已成功应用于近5000个项目。
3. 关于Nexdata
Nexdata配备专业的数据采集设备、工具与环境，以及经验丰富的数据采集与质量管控项目经理，能够满足各类场景与类型的自然语言处理（NLP）数据采集需求。我们拥有全球数据处理中心与超过20000名专业标注人员，可按需提供语音、图像、视频、点云及自然语言处理（NLP）数据等各类标注服务。欢迎访问我们的官网：https://www.nexdata.ai/?source=Datarade

搜集汇总

背景与挑战

背景概述

该数据集展示了Nexdata提供的数据收集与标注服务，涵盖无监督学习、SFT、红队测试和RLHF等多种AI训练需求，并具备全球多语言资源、严格合规性和高效标注能力。Nexdata拥有专业的数据处理设施和两万余名标注人员，支持语音、图像、视频等多模态数据的标注服务。