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AI Training Solution

AI Training Solutions

Feed Industry Knowledge to AI, Build Top-Tier Experts Who Never Leave

Through three core technologies—RAG Retrieval Augmentation, Domain Fine-tuning, and Knowledge Graph Injection—systematically feed your enterprise's accumulated industry experience, product knowledge base, and customer cases into large language models, training exclusive AI experts that understand your industry and business.

95%+ Answer Accuracy
200+ Pre-integrated Models
7×24h Always Online
80% Labor Cost Savings

Four Core Technical Capabilities

From knowledge injection to model training, from inference optimization to secure deployment—an end-to-end AI industry expert building capability chain

RAG Retrieval-Augmented Generation

Systematically inject massive unstructured data—product documents, technical manuals, customer service records, industry standards—into large language models, achieving precise retrieval-augmented generation based on real-time knowledge bases, avoiding model hallucinations.

Multi-format document parsing (PDF/Word/Excel/Markdown)
Smart chunking and semantic indexing
Hybrid retrieval (vector + keyword)
Citation traceability and confidence scoring

Domain Fine-tuning

Conduct industry-directed fine-tuning on mainstream open-source large models, enabling AI to deeply understand vertical domain terminology, business logic, and decision rules, outputting responses more aligned with industry context.

SFT supervised fine-tuning + RLHF preference optimization
LoRA efficient parameter fine-tuning
Multi-turn dialogue context management
Domain terminology normalization

Knowledge Graph Injection

Build enterprise-specific knowledge graphs, injecting structured knowledge—entity relationships, business processes, product systems—into the model inference process, giving AI genuine "industry cognition" rather than simple text matching.

Automatic entity extraction and relationship building
Graph reasoning augmented generation
Multi-modal knowledge fusion
Dynamic updates and version management

Security, Compliance & Private Deployment

Full private deployment solutions, data stays within enterprise intranet; end-to-end encryption, permission controls, audit logs and enterprise-grade security, meeting compliance requirements for finance, healthcare and other industries.

Private deployment / hybrid cloud mode
RBAC fine-grained access control
Full-chain operation audit logs
Data masking and privacy protection

Four-Step Delivery Process

From requirements research to go-live operations, standardized processes ensure high-quality project delivery

01

Requirements Diagnosis & Data Inventory

Deep analysis of enterprise business scenarios,梳理 existing knowledge assets (documents, manuals, FAQs, case libraries), and evaluate data quality and coverage.

02

Knowledge Base Construction & Vectorization

Clean, chunk, and Embedding-vectorize unstructured data, building a high-performance RAG knowledge base supporting semantic retrieval.

03

Base Model Selection & Fine-tuning

Select the optimal open-source base model (e.g., Qwen, DeepSeek, Llama) based on industry characteristics, conducting domain-directed SFT fine-tuning.

04

Expert Validation & Continuous Optimization

Industry experts participate in evaluation and calibration, establishing a feedback loop to continuously iterate and improve model answer accuracy above 95%.

Typical Application Scenarios

AI industry experts have been validated across multiple core business scenarios

Intelligent Pre-sales Consultant

24/7 online response to customer inquiries, precise solution recommendations based on product knowledge bases, auto-generated quotations and technical proposals, freeing 80% of manual pre-sales workload.

After-sales Technical Support Expert

Automatically analyzes fault descriptions after integrating with ticketing systems, matches historical solution databases, provides troubleshooting guidance; complex issues are auto-escalated with complete diagnostic reports.

Internal Training & Knowledge Assistant

New employees get a "pocket mentor" from day one, asking questions to get standard answers anytime; supports scenario-based simulation assessments, significantly shortening onboarding time.

Business Data Analysis Advisor

Connect enterprise ERP/CRM data sources, query business metrics in natural language, auto-generate analysis reports and trend prediction suggestions, assisting management decision-making.

Successful Case Studies

Below are benchmark AI industry LLM projects delivered by iChina

HZD — AI Multi-Model Collaborative News Analysis Platform

Built a 12 AI multi-model collaborative engine for the HZD platform, integrating GPT-4o, Claude, Gemini, DeepSeek, GLM, Qwen and other mainstream models. Through a four-step pipeline of "Summarize → Deep Read → Mine → Comment," achieving second-level global news collection, multi-AI parallel reading, cross-data verification, and credibility quantification. Users reduced from 2-3 hours daily browsing to 10 minutes for core insights.

Collaborative Models 12 AI
Daily Free Quota 1M TOKENS
Efficiency Gain 12x+
Source Coverage 10+ Global Sources
Multi-Model Engine 3D Quantified Evaluation 7×24 Real-time Tracking Credibility Scoring

MulanXu — AI Soul Mate Matching Platform

Built a 12 domestic AI large-model collaborative matching engine for MulanXu, based on deep learning emotion analysis, NLP semantic understanding, and graph neural network relationship reasoning, achieving multi-dimensional personality profiling, value quantification, and complementary resonance matching. Unlike traditional similarity recommendations, the system calculates "happiness assessment value for two people together," completing soul mate matching for over 1.24 million users.

Completed Matches 1.24M+ People
Match Satisfaction 98.6%
AI Response Time ≤3 Seconds
Accuracy Improvement +37%
Multi-Model Engine Personality Complement Algorithm Emotion Sync Detection AI Dialogue Coach

Tech Stack Panorama

Covering the complete tech ecosystem from base models to deployment and operations

Base Models

Qwen2.5 (Tongyi Qianwen)
DeepSeek-V3/V4
Llama 4
GLM-5 (Zhipu)
Yi (01.AI)

Training Frameworks

vLLM Inference Acceleration
Transformers + PEFT
DeepSpeed Distributed Training
Megatron-LM

Vector Databases

Milvus / Qdrant
Elasticsearch
Redis Vector
PgVector

Deployment Options

NVIDIA A100/H100 Cluster
Huawei Ascend 910B
Domestic GPU Adaptation
CPU Quantized Deployment

Frequently Asked Questions

Common questions about our AI training solutions

AI industry large model training refers to systematically feeding your enterprise's accumulated industry experience, product knowledge base, customer cases and other data into large language models through RAG retrieval augmentation, domain fine-tuning, knowledge graph injection and other technologies, training exclusive AI experts that understand your industry and business.
Standard project cycles are 4-8 weeks, depending on data scale and complexity. Requirements diagnosis and data inventory take about 1 week, knowledge base construction and vectorization take 1-2 weeks, model fine-tuning training takes 1-2 weeks, and expert validation and continuous optimization take 1-2 weeks. We use standardized processes to ensure efficient delivery.
There is no strict data volume requirement. We support starting from a small number of core documents (such as product manuals, FAQs, standard procedures) and gradually expanding. Data quality matters more than quantity; we help customers evaluate data quality and provide cleaning and organization recommendations.
We support mainstream open-source base models including Qwen (Tongyi Qianwen), DeepSeek, Llama, GLM (Zhipu), Yi (01.AI), and others. We recommend the optimal base model based on industry characteristics and deployment environment, ensuring a balance of training effectiveness and cost.
Through the combination of RAG retrieval augmentation + domain fine-tuning + knowledge graph injection, we achieve over 95% answer accuracy across multiple industry projects. The expert validation phase establishes a feedback loop for continuous iteration to improve model performance.
Fully supported. We provide complete private deployment solutions where data stays within the enterprise intranet; we support hybrid cloud mode with flexible deployment options. Equipped with RBAC fine-grained access control, full-chain operation audit logs, data masking and privacy protection enterprise-grade security.
Costs depend on data scale, model selection, deployment method, and customization level. We offer multiple options ranging from lightweight SaaS solutions to enterprise-level private deployment. Please contact our technical team for customized pricing.
We provide continuous optimization services: regularly collecting user feedback and actual usage data, establishing evaluation metric systems; monthly knowledge base updates to ensure the model has the latest industry information; quarterly model fine-tuning to continuously improve answer quality and accuracy.
Directly calling general APIs suits generic scenarios but lacks industry depth. The AI training solution injects enterprise-specific knowledge bases and industry experience, enabling the model to truly understand business logic, professional terminology, and decision rules, outputting responses more aligned with actual business needs.
We employ enterprise-grade security measures: data transmission is fully encrypted, storage uses isolated encryption; the training process occurs in a controlled environment, with NDAs available; original training data can be deleted upon completion to ensure data security and control.

Ready to Build Your
Exclusive AI Expert?

Whether you are in finance, manufacturing, healthcare, or education, our technical team can customize the most suitable AI training solution for you

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Frequently Asked Questions

What is AI Training Solutions?

AI Training Solutions is a core AI service from iChina AI, a brand of Shenzhen HLZX Cloud Computing Co., Ltd. Since 2006, we have built deep expertise in artificial intelligence, big data, cloud computing and blockchain, backed by more than 228 software copyrights and national high-tech enterprise certification. We help clients across manufacturing, healthcare, legal, education, e-commerce, finance, government and 30+ industries achieve digital transformation, operational efficiency and sustainable growth.

What core problems does AI Training Solutions solve?

AI Training Solutions helps enterprises reduce repetitive labor costs, accelerate key business decisions, improve brand visibility and citation rates on AI search engines such as ChatGPT, Claude, Perplexity and Google AI Overviews, and build a complete closed loop from data collection and knowledge organization to model training and business implementation across manufacturing, education, healthcare, legal, finance and retail.

Why choose iChina AI for AI Training Solutions?

Choosing iChina AI for AI Training Solutions means partnering with a company that has more than 20 years of technology R&D experience, over 228 software copyrights and national high-tech enterprise certification. We offer SaaS, private deployment and hybrid cloud options, dedicated customer success managers and 7×24 technical support, serving mainland China, Southeast Asia and the Middle East.

How do I get started with AI Training Solutions?

You can submit a request through the iChina AI website, call +86-400-6801-888 or email business@ichina.cn. Our solution experts will contact you within one business day to provide a customized plan, transparent quotation and full implementation support based on your industry, business size and digital goals.

Who is AI Training Solutions best suited for?

AI Training Solutions is ideal for SMEs, large enterprises, government agencies, industrial parks, industry associations and channel partners seeking transformation through AI. Whether your focus is growth, efficiency, cost optimization, compliant global expansion or AI brand visibility, we provide matched product capabilities, industry experience and ongoing operations support.

Still have questions? Contact iChina AI