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Glossary

Hybrid AI Models

Hybrid AI Models are AI systems that combine multiple approaches, such as rule-based systems like Teneo Linguistic Modeling Language (TLML), machine learning, and large language models (LLMs), to leverage the strengths of each. This integrated approach creates more robust and versatile AI solutions by balancing the predictability and control of traditional methods with the flexibility and learning capabilities of newer AI technologies. 

Why are Hybrid AI Models important? 

  • Complementary Strengths: Overcome limitations of individual AI approaches 
  • Reliability: Provide fallback mechanisms when one approach encounters difficulties 
  • Adaptability: Balance consistency with the ability to handle novel situations 
  • Explainability: Combine transparent rule-based components with powerful but opaque models 
  • Performance Optimization: Use the most appropriate technique for each specific task 

How to measure the effectiveness of Hybrid AI Models?

  • Comparative Performance: Results relative to single-approach alternatives 
  • Failure Reduction: Decrease in situations where the system cannot provide adequate responses 
  • Consistency Metrics: Reliability of outputs across different scenarios 
  • Explainability Score: Ability to provide reasoning for decisions 
  • Resource Efficiency: Computational and operational costs relative to benefits 

How to improve Hybrid AI Models? 

  • Integration Optimization: Refine how different AI approaches work together 
  • Component Selection: Choose the most appropriate techniques for specific functions 
  • Switching Logic: Enhance decision mechanisms for when to use each approach 
  • Feedback Loops: Implement learning from outcomes to improve future performance 
  • Balance Tuning: Adjust the relative influence of different approaches 

Teneo combines the strengths of generative and deterministic AI through a hybrid approach that excels in dynamic context management, scalability, and domain-specific expertise. This balanced methodology ensures AI interactions benefit from both the flexibility of large language models and the reliability of controlled systems. Teneo’s hybrid AI models deliver consistent, accurate responses while maintaining the ability to handle novel situations and personalize interactions. 

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