Fine-tune with Private Data to

Build Enterprise-Specific Intelligence

MatrixOne Intelligence delivers powerful data management and processing capabilities to build efficient, high-quality fine-tuning pipelines for large language models (LLMs), ensuring your LLM becomes truly enterprise-specific intelligence.

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Model Fine-tuning

Efficiently Build High-Quality Data Pipelines to

Make Your LLM Truly "Understand" Your Business

Multimodal AI Parsing
Multimodal AI Parsing
Intelligently identifies and processes text, images, audio/video and other data types to provide rich multimodal data sources for model training
Low-Code Data Processing
Low-Code Data Processing
Intuitive visual workflow orchestration lowers technical barriers and time costs for data preparation, enabling non-technical staff to easily participate in data preparation and model training
High-Quality Training Data Generation
High-Quality Training Data Generation
AI-assisted data cleaning, deduplication, labeling and enhancement ensures accuracy, consistency and representativeness of fine-tuning datasets

Fine-tune LLMs with Enterprise Data

to Build Core Competitiveness

Fine-tune LLMs with Enterprise Data
Unified parsing and processing of multimodal corpora enriches training data diversity to better reflect real business scenarios

Unified parsing and processing of multimodal corpora enriches training data diversity to better reflect real business scenarios

Supports scenario-specific fine-tuning requirements with high task adaptability

Supports scenario-specific fine-tuning requirements with high task adaptability

Establishes traceable, auditable corpus asset systems meeting strict compliance and data security requirements for model training

Establishes traceable, auditable corpus asset systems meeting strict compliance and data security requirements for model training

Use case
IBS (Irritable Bowel Syndrome) Diagnostic Assistant
A top-tier hospital facing massive IBS patient demand leveraged MatrixOrigin's platform to build a high-precision IBS dialogue and diagnostic support model. This significantly improved initial consultation efficiency and diagnostic accuracy, helping doctors quickly identify key patient information and optimize treatment pathways.