Part 3/11:
A key discussion point is the misconception surrounding fine-tuning AI models to learn new data—particularly for domain-specific applications like legal research. Many expecting quick solutions assume that fine-tuning can teach a model new facts, such as case law in Argentina or other niche data. However, David clarifies that fine-tuning primarily teaches the model patterns, not unique knowledge.