AI Training

a. Confirm Target

PETGPT will achieve the creation of pets with ChatGPT abilities and with personalities that develop as they grow.

b. Data Collection

PETGPT will collect and sort data used by digital pets through writing code, developing the game, or using currently available data, including their behavior, movements, sound, and visualization.

c. Data Preprocessing

PETGPT will preprocess data, including data cleaning, data standardization, feature extraction, etc. These steps will help reduce data noise and increase data usability and interpretability.

d. Training Model

PETGPT will use OpenAI’s API to train the digital pets’ AI model

e. Model Assessment

PETGPT will access the AI model during training to understand its performance and precision using different indexes, including precision, recall rate, F1 score, etc., to access the model’s performance.

f. Model Optimization

PETGPT will optimize the model based on the results of the assessment, such as adjusting model parameters, adding regularization terms, adjusting learning rate, etc.

g. Deployment and Maintenance

PETGPT will deploy the model to the system after training and optimization, performing maintenance, and updating it to ensure its precision and usability.