Fine-Tuning
Definition: Fine-tuning means taking an existing AI system and training it a little more with new or specialized data so it performs better on a specific task. It helps the AI learn extra details without starting over from scratch.
Example
A legal AI trained on general documents could be fine-tuned with thousands of contracts so it becomes better at spotting missing clauses or risky language.
Why It Matters?
Fine-tuning allows AI tools to adapt to specific industries and tasks. In law, it helps models understand legal language and produce more accurate results for research, drafting, or document review. This saves time and reduces the risk of errors that come from using generic AI systems.