Content Comparison

...

For general information please check out: [TBC]Preliminaries and Quiz Materials.

For this project:

1. Intents represent the user's high-level actions or goals.

   • Example: When a user says, "Can you recommend a recipe?", the intent could be requestRecommendation.

2. Slots define specific pieces of information extracted from the user’s input.

   • Example: In the query "Add garlic and chicken thighs to the recipe filter," garlic and chicken thighs are slot values of the ingredient slot type.

...

1. Open the Ontology File

   • Locate the ontology file (ontology.json) in your project. This file contains two key sections:

     • Intents: A list of all possible intents your system can predict.

     • Slots: A dictionary where the keys represent slot types (e.g., ingredient) and the values are lists of possible slot values (e.g., garlic, chicken thighs).

2. Review the Intents

   • Look at the intents section in the file. Each intent represents a unique user goal or action.

   • Reflect on the variety of intents. For example:

     • What do intents like greeting or farewell imply about the system's capabilities?

     • How does the system distinguish between recipeRequest and requestRecommendation?

3. Explore the Slots

   • Examine the slots section. This is a dictionary of slot types and their potential values.

   • Key questions to consider:

     • How many slot types are defined? Examples might include ingredient, cuisine, or recipe.

     • Are there any patterns in the slot values?

     • How do these slots connect to our MARBEL agent potentially?

4. Think About Model Outputs

   • Your model will predict one intent per input (intent classification) and assign a slot label to each token in the input (slot filling).

   • Understanding the ontology helps you map these predictions to actionable output