Moderate audio and text chats using AWS AI services and LLMs

This article provides a solution for moderating audio and text chats using AWS AI services and large language models (LLMs). It explains how to detect and flag toxic content such as hate speech, cyberbullying, harassment, and scams in online gaming and social communities.

Specifically, the article covers:

• Audio chat moderation workflow using Amazon Transcribe, Amazon Comprehend, Amazon Bedrock, and OpenSearch Service
• How Amazon Transcribe Toxicity Detection analyzes audio and flags toxic speech
• Using LLM prompt engineering with Amazon Bedrock to evaluate chat messages against customized policies
• Leveraging Amazon Bedrock Knowledge Bases for efficient retrieval of relevant policy segments
• Text chat moderation workflow using Amazon Comprehend toxicity analysis
• Optimizing latency and cost by selectively applying LLMs based on toxicity analysis thresholds