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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.
For extraction, our dataset consists of:
Nutrition per serving: The nutritional values per serving
Web page content: The contents of the web page
Web page title: Title of the page
Ingredients: The extracted list of ingredients
Nutritional category: Categories such as beverage, red meat, etc
Serving size (grams or mL): The food amount per serving
Open Google Sheets and add or import the training dataset
Click Extensions > Promptrepo > Train AI
Promptrepo sidebar widget will be displayed
Enter the AI model name and click Next
Select Web page title & Web page content as input columns and click Next
Choose all other columns as output columns and click Next
Click Publish and let Promptrepo fine tune the extraction model
Once trained, test the model by inputting a food name and its description
The model should extract structured data (ingredients & nutrition) from the text
Extraction models enable AI to understand and process textual data. Now, let’s move on to generative models to create new data based on learned patterns.
Click Submit to finish.
