Home
Products
About Us
the-earthEnglish

Chat-based Model Applications

With the continuous advancement of artificial intelligence technology, Chat has been widely applied in customer service, sales, marketing and other fields. Through natural language processing and deep learning technology, it achieves real-time intelligent interaction, not only greatly improving user experience but also significantly enhancing enterprise operational efficiency.
Chat-based Model Applications

What is Chat?

索引

  • Chat Concept
    Chat Concept
  • Potential Risks of Chat
  • Chat Base Model Governance Solution
What is Chat?

Chat Concept

Chat based on large language models has powerful semantic understanding and generation capabilities, able to provide precise and personalized interactive services in various scenarios such as customer service consultation, online sales, knowledge Q&A, effectively reducing enterprise operational costs and improving user satisfaction.

Potential Risks of Chat

While Chat brings convenient services, its potential risks are gradually emerging, mainly including privacy information leakage, prompt injection attacks, and brand management issues.

Privacy Information Leakage Risk:

  • Since chatbots often need to process users' sensitive data such as names, email addresses, financial information, if strict encryption and access control measures are not taken during data transmission and storage, it may lead to privacy information leakage, bringing security risks and trust crises to users and enterprises.

Prompt Injection Attack Risk:

  • If the deployed Chat security protection is incomplete, it may be subject to malicious prompt injection attacks. For example, in sales scenarios, destructive prompts may cause the robot to output wrong or even harmful information. Such protection vulnerabilities often stem from insufficient verification checks or user manipulation, thus affecting overall service quality and business stability.

Brand Management:

  • As an important bridge between customers and enterprises, Chat's responses directly affect brand image. If its replies are inaccurate, inappropriate, or inconsistent in tone, it may not only trigger negative public opinion but also have long-term adverse effects on the enterprise's brand reputation and market image.

Chat Base Model Governance Solution

GenTel has proposed a complete set of Chat base model governance solutions to ensure privacy security, dialogue quality, and brand consistency.

Privacy Protection Fence

Through real-time checking, automatic interception, and intelligent processing of sensitive information (such as names, emails, financial data, etc.), ensure Chat effectively prevents user privacy leakage caused by inappropriate input and output during interaction.

Dialogue Topic Fence

Real-time dialogue content monitoring and topic filtering technology ensure Chat always revolves around core business for dialogue. After application, this measure significantly improves dialogue professionalism and consistency, effectively preventing off-topic risks.

Brand Value Alignment

Build a non-intrusive brand value alignment model to ensure Chat output aligns with enterprise brand image. After implementation, this measure significantly reduces brand management risks and strengthens positive brand image transmission.