Patience for Debugging and Fine-Tuning for Conversational AI Developers
Master the art of systematic debugging and iterative fine-tuning to build robust, accurate, and user-centric conversational AI experiences.
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Systematic Debugging and Error Identification in Conversational AI
Unit 1: Foundations of Conversational AI Debugging
What is Debugging?
Common Error Sources
Unit 2: Diagnosing Conversational AI Issues
Debugging Intent & Entity
Debugging Flow & Response
Tools for Debugging
Unit 3: Strategic Debugging Practices
Systematic Debugging Steps
Prioritizing Debugging
Iterative Fine-Tuning and Performance Optimization for Conversational AI
Unit 1: Foundations of Fine-Tuning
Why Fine-Tune?
The Fine-Tuning Lifecycle
Unit 2: Measuring Success: Evaluation Metrics
Metrics for NLU
Metrics for NLG
Human in the Loop
Unit 3: Fine-Tuning Techniques
Data-Centric Fine-Tuning
Prompt Engineering
Transfer Learning Basics
Unit 4: Strategic Fine-Tuning
Prioritizing Fine-Tuning
Patience & Persistence