Topics Covered
- Key differences: training data, outputs, interpretability
- When to use LLMs vs simpler models
- What business users need to know (no math)
LLMs vs Traditional Machine Learning
Understand how large language models differ from classical ML — in architecture, capabilities, and use cases.