In the quest for superior machine learning models, fine-tuning is a crucial step. GPT-3.5, a robust model from OpenAI, offers a fine-tuning feature that lets you tailor the model for specific tasks. One intriguing use case is employing GPT-3.5 to unravel insights from the historic Titanic dataset.
Here’s a simplified example of processing the Titanic dataset into fine-tuning prompts:
import pandas as pd |
Post processing, follow OpenAI’s fine-tuning guide to upload your data and initiate a fine-tuning job. Once the fine-tuning is complete, you’re set to sail on a voyage of discovery with your newly fine-tuned GPT-3.5 model, exploring the depths of the Titanic dataset!
The realm of fine-tuning is vast and the potential to uncover new insights is boundless. So, hoist your sails, the sea of data awaits!