Fine-tuning lets teams customise GPT-3 for specialised tasks. By collecting prompt and completion pairs, developers train a new model that performs better than manual prompting. This approach shortens prompts, reduces latency and aligns outputs with domain requirements. Open-source tools and OpenAI’s API simplify the process but data quality remains critical.