Toxicity

Scan for toxic language:

Purpose: The Toxicity Scanner is designed to identify and flag content that exhibits toxic or harmful behavior, such as hate speech, threats, or harassment.

Functionality: It employs natural language processing (NLP) techniques to analyze text inputs and determine the presence of toxic language. This includes assessing the tone, context, and semantic meaning of the text to identify potentially harmful content.

Implementation: The scanner utilizes a combination of machine learning algorithms and pre-trained models to recognize patterns indicative of toxicity. It may employ techniques such as sentiment analysis, keyword matching, and context analysis to accurately detect toxic behavior.

Usage: The Toxicity Scanner can be integrated into agents to automatically moderate user-generated content and maintain a safe and respectful environment.

To learn more about toxicity and other LLM parameters visit:

What is LLM ParametersDeepchecks

https://deepchecks.com/glossary/llm-parameters/