COSMO Data Pyramid Solution for LLMs

Unleash the Infinite Potential of AI 2.0 with the Power of Data!

The construction of a data system is the foundation of model training, and the quality of the dataset directly affects the performance of the model. A complete, structured, diversified, and all-encompassing data system can provide rich and diverse information, determining the upper limit of the model. Our goal is to empower AI with the ability to understand the world through data, enabling AI to have human-like thinking and logic, shaping its values, discerning good from evil, and ensuring that its output content is healthy and harmless, ultimately leading to AGI. Stardust COSMO Data Pyramid Solution for LLMs is dedicated to solving the pain point of the shortage of Chinese language corpus data, using a four-level pyramid data structure to provide you with a one-stop data solution that comprehensively enhances model performance.

Full-Stack, One-Stop and Multi-Scenario Data Solution

Stardust has designed a robust four-level data pyramid catering to various scenarios. This provides you with a full-stack solution for data strategy and services, ultimately expediting and reinforcing the development of your LLMs.

L3: Private Enterprise Data

We offer private domain dataset construction services that can be deployed privately, catering to various industries and organizations, to meet customized requirements and build internal knowledge repositories.

L2: Proprietary Capability Data

For specific domains and application scenarios, we offer a diverse range of proprietary capability datasets, such as chain of thought, plugin invocation capabilities, alignment with human values, industry-specific terminology, and more. These proprietary capability datasets will assist models in achieving more accurate positioning and higher performance efficiency.

L1: General Capability Data

We provide high-quality data for LLM fine-tuning, including SFT datasets, RLHF datasets, as well as challenging data from fields such as Mathematics, Chemistry, and Multi-turn Dialogue, to supplement the limitations of publicly available data.

L0: Public Data

As the foundation for LLM pre-training, public data offers a vast collection of cleaned and processed public datasets, building the knowledge framework and worldview of LLMs.

Challenges and Difficulties

Explore the challenges in data processing, model training, and application of LLMs, and provide solutions and best practices.

01Data Acquisition

02Data Annotation

03Quality Assurance

04Model Iteration

1. Data Acquisition

Data serves as the bedrock of LLM training, yet acquiring the necessary datasets for training LLMs, such as pre-training, SFT, RLHF, CoT, multi-turn dialogues, and more, can be quite challenging. This challenge becomes more pronounced in specific domains and topics, where data might be scarce, and acquisition costs can be extremely high, making it difficult to ensure model performance. Additionally, data acquisition raises various legal and ethical concerns, such as safeguarding user privacy and addressing data ownership issues.

2. Data Annotation

The annotation of data for LLMs differs from past AI data annotation. It involves a large volume of data from diverse sources and encompasses multiple subtasks. It requires a highly skilled annotation team to design and standardize task types, as well as undergraduate or higher-level professionals with expertise in language comprehension and writing to annotate and write the data. Additionally, NLP experts are essential to ensure detailed and high-quality control of challenging and exceptional cases within the Chinese language context, providing effective feedback for model training.

3. Quality Assurance

As the quality of data directly affects the performance of the model, ensuring the quality of data for LLMs is a challenge. The LLM data needs to adhere to the 3H principle: Helpful, Honest, and Harmless. It not only needs to ensure data diversity, usefulness, and harmlessness but also avoid subjectivity, illusions, and sensitive content such as political division and racial discrimination.

1. Data Acquisition

2. Data Annotation

3. Quality Assurance

Advantages and Solutions

Stardust COSMO Data Pyramid Solution for LLMs possesses the following advantages, enabling you to enhance your LLMs and excel in your field!

Outstanding Industry Experience

Huge Annotation Team：We have a large pool of talented individuals, ensuring high-quality data annotation services.

Experienced Project Managers：Our project managers have extensive industry experience, providing professional management and coordination.

Top Clients and Cutting-edge Projects：We partner with well-known domestic companies, offering best practices and solutions.

Specialized Team

NLP Specialists：Our team has top experts in Natural Language Processing who provide professional technical support and guidance for your AI projects.

Data Strategy Specialists：With rich industry knowledge and experience, our experts offer customized data strategies and solutions for you.

Efficient Automated Product and Tools

Data Processing Workflow Design：Organize and arrange data processing workflows for customized configurations.

Algorithm Assistance：Real-time integration of customer algorithms, supporting Chat annotation and RLHF (Reinforcement Learning from Human Feedback) to ensure data effectively enhances model training.

Automated Task Scheduling：Provide automated tools supporting Chat annotation and Self Instruct, saving costs.

Single Dataset

Easy access

Basic needs met

High-quality dataset

Affordable price

Customized Dataset

Exclusive design

Specific needs met

Value upgrade

COSMO Solution

Lifetime Ownership

Value of AI unlocked

Cost-effective

Customized Solutions

Exclusive design

Tailored to your business

High-end solutions

Premium services

First-Ever Benchmark Dataset for LLM Instruction Following Worldwide

Stardust is soon releasing the first-ever Benchmark dataset for LLM instruction following worldwide. It includes 150 tasks like generation, classification, translation, and logic. The dataset has open-source and closed-source components. We will offer evaluation rankings, technical consultations, and evaluation reports. Stay tuned for more updates!

What is the typical score for LLMs?

Stay tuned for authoritative evaluation results...

Professional benchmark evaluation report

Through comprehensive evaluation metrics and carefully designed experiments, we present a series of detailed evaluation results to help you fully understand the instruction following ability of large language models.

The right side of the report is for illustration purposes only. Stay tuned for the closed-source evaluation report!

Industry Applications

We are committed to providing customized LLM solutions for various industries, such as healthcare, law, media, finance, education, gaming, and more. We look forward to joining hands with you in creating an intelligent future for the industry.

General LLMs

NLP, Text Generation, Text Classification, Sentiment Analysis, Intelligent Question Answering

General LLMs

General LLMs can handle multiple tasks and scenarios, including natural language processing, text generation, text classification, sentiment analysis, intelligent question answering, and more, offering intelligent solutions for various industries.

Medical LLMs

Medical Case Analysis, Diagnostic Recommendations, Drug Recommendations, Medical Literature Retrieval, Disease Prediction, Patient Health Management

Medical LLMs

Medical LLMs can aid doctors in case analysis, diagnosis suggestions, medication recommendations, and other medical applications such as medical literature retrieval, disease prediction, and patient health management.

Legal LLMs

Contract Review, Legal Consultation, Case Analysis, Legal Regulation Retrieval

Legal LLMs

Legal LLMs can be applied in contract review, legal consulting, case analysis, and legal regulation retrieval, assisting lawyers and legal professionals in efficiently handling legal matters and improving industry productivity.

Media LLMs

News Writing, Content Planning, Social Media

Media LLMs

Media LLMs are well-suited for various media fields, such as news, advertising, literature, and more. They are generally applied in news writing, content planning, social media management, intelligent recommendations, and more.

Versatile Enterprise Assistant

Customer Service, Internal Communication, Document Management, Market Analysis

Versatile Enterprise Assistant

Versatile Enterprise Assistant can assist with various tasks within a company, handling tasks like customer service, internal communication, document management, and market analysis.

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Domain-Specific Industry Solutions

Contact Us for Data Services

We stay updated on global trends and use our industry expertise to offer you high-end solutions and build a strong data foundation, making LLM training more efficient.

COSMO Data Pyramid Solution for LLMs

Outstanding Industry Experience

Specialized Team

Efficient Automated Product and Tools

Professional benchmark evaluation report

Contact Us for Data Services

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