Ask questions about your audio data
In this guide, you'll learn how to use LeMUR to ask questions and get answers about your audio data.
If you want a Quickstart, see Apply LLMs to audio files.
To use LeMUR, you need an with a credit card set up.
With the LeMUR Task, you can send any prompt to the LLM and apply the model to your transcribed audio files.
To ask question about your audio data, define a prompt with your questions and call
transcript.lemur.task(). The underlying
transcript is automatically used as additional context for the model.
Based on the transcript, runner's knee is a condition characterized
by pain behind or around the kneecap. It is caused by overuse,
muscle imbalance and inadequate stretching. Symptoms include pain
under or around the kneecap and pain when walking.
Q&A prompt examples
Try any of these prompts to get started:
Question and answerAnswer any questions about your audio
|"Identify any patterns or trends based on the transcript"
Closed-ended questionsAnswer simple yes/no questions
|"Did the customer express a positive sentiment in the phone call?"
Sentiment analysisAssess the emotional sentiment of a conversation
|"What was the emotional sentiment of the phone call?"
For more use cases and prompt examples, see LeMUR examples.