B1.8 Continue to fine-tune the gpt model

[ZIYANGSONG2003]

• [ ] Gather additional training data relevant to the AI-Enhanced WordPress Development Toolkit, ensuring diversity in use cases, WordPress functions, and shortcode generation.
• [ ] Test the fine-tuned model on unseen data to evaluate its performance in generating accurate WordPress shortcodes and code snippets.

[ZIYANGSONG2003]

The task B1.8 Continue to fine-tune the GPT model has made notable progress in improving the model’s ability to generate relevant shortcodes. Here are some key observations:

Training Data Refinement: The continued fine-tuning of the GPT model with more targeted datasets has helped improve the model’s accuracy. The selection of additional data points is well thought out, ensuring that the model adapts to various user requirements.

Model Performance: The model’s ability to generate relevant shortcodes has been enhanced significantly based on the fine-tuning iterations. It appears that the model can now generate more complex shortcodes that are better aligned with user needs.

Collaboration: Assigning multiple team members to this task, including Guanweiyi1999, BillyHeYifan, and ZhihengShen, has fostered collaborative efforts. The coordination between team members in refining datasets and testing the model shows excellent teamwork.