AI Systems Don't Understand Slang? Practical Sharing on Building an Enterprise Terminology Knowledge Base
How to Handle AI's Inability to Understand Our Jargon? This is the primary challenge many companies face when integrating language models.
No matter which industry they are in, such as finance, manufacturing, healthcare, technology, every sector has its own terminology, abbreviations, process codes, and communication styles. Without proper understanding and knowledge training on AI regarding these terms, we may end up with an AI that understands Chinese language but not what we're really saying.
Common Challenges
- AI cannot correctly interpret meanings of words like 'PRD', 'MQL', 'QC'
- AI responses are inconsistent with professional styles, sounding like lectures or novels
- Difficulty in recognizing process names, file formats and other habits
Key Elements of Building a Corporate Terminology Knowledge Base
- Vocabulary Expansion: Catalog internal terms, codes, abbreviations with corresponding explanations and usage scenarios.
- Situational Learning: Teach AI to understand the tone and context differences in different departments and positions.
- Prompt Design for Scenario Exemplars: Develop prompts that instruct AI on how to respond using your language style.
- Integration with Internal Documents via RAG Framework: Combine SOPs, reports, process diagrams into a semantic understanding foundation.
NT Tech's Practical Experience
NT Tech assists various industries in creating terminology knowledge bases to enhance AI's understanding of 'industry jargon':
- Customizing semantic fields based on company processes
- Merging internal training materials and document databases for knowledge embedding
- Providing a set of Prompt tools that enables different departments to expand their own examples
- Implementing role-based access control ensuring consistent logic across all responses
The language model will become stronger over time, but it must understand your language for this to happen. Don't let jargon be a communication barrier; start building a tailored AI assistant with industry-specific terminology.
Contact NT Tech to Build Your Corporate-specific Terminology Knowledge Base
