We would love to hear from you on how we can improve your experience!
Frequently asked questions from our users
Fine-tuning is the process of taking a pre-trained AI model and optimizing it for a specific task by training it further on a specialized dataset. Instead of training a model from scratch, fine-tuning allows us to leverage existing AI capabilities while tailoring the model to our unique needs.
Read the full article →Classification models categorize input data into predefined labels. In this tutorial, we’ll build a food classification model to categorize food items using PromptRepo.
Read the full article →Extraction models identify and extract structured information from raw text. In this tutorial, we’ll build a model that extracts ingredients and nutritional values from food descriptions.
Read the full article →Generative models generate new outputs based on learned patterns. In this tutorial, we’ll create a model that generates nutritional estimates for food items when real data is unavailable.
Read the full article →