This one-hour program consisted of two micro-learning courses, discussing the details of Small Language Models and How Artificial Intelligence transform fraud detection.

Discussing Small Lanuage Models

• Key characteristics of Small Language Models
• Comparing SLMs and LLMs
• Data requirements
• Resources intensity
• Risks and challenges

Applying Artificial Intelligence in Fraud Detection

• How AI revolutionize the fraud detection industry
• AI vs human in fraud detection
• Differences with traditional fraud detection method
• Common algorithms / methodologies
• Pros and cons
• Real world applications
• Ethical considerations