Introduction to AI Models
Understanding machine learning
Types of AI models
Basic components of AI
Fine-Tuning Techniques
Transfer learning
Parameter adjustment
Training techniques
Evaluation Metrics
Model performance metrics
Overfitting and underfitting
Practical Applications
Fine-tuning in NLP
Fine-tuning in computer vision
Case studies and examples
Advanced Topics
Hyperparameter optimization
Few-shot and zero-shot learning
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