What is training dataset in SAP CA-ML-RAI - SAP Conversational AI?

SAP Term: training dataset

• Component: CA-ML-RAI

• Component Name: SAP Conversational AI

• Description: A set of many sentences organized into intents representing what users say to the chatbot. The training dataset is used to train the bot to understand the user’s needs and to trigger the right piece of conversation, reply correctly, and have a smooth conversation.

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• Key Concepts: 
  A training dataset is a collection of data used to train a machine learning model. It is used to teach the model how to recognize patterns and make predictions. The data in the training dataset is typically labeled, meaning that it has been labeled with the correct answer or outcome. This allows the model to learn from the data and make accurate predictions. 
  
  How to use it: 
  In order to use a training dataset, you must first create it. This can be done by collecting data from various sources, such as surveys, interviews, or existing databases. Once the data has been collected, it must be labeled with the correct answer or outcome. After this is done, the data can be used to train a machine learning model. 
  
  Tips & Tricks: 
  When creating a training dataset, it is important to ensure that the data is accurate and up-to-date. Additionally, it is important to ensure that the data is representative of the population that you are trying to predict outcomes for. Finally, it is important to ensure that the data is balanced, meaning that there are an equal number of examples for each class or outcome. 
  
  Related Information: 
  The training dataset is an important part of any machine learning project. It is also important to consider other aspects of machine learning such as feature engineering and model selection when creating a machine learning model. Additionally, it is important to consider how the model will be deployed and monitored once it has been trained.