Create custom LLM prompts
Learn about different use cases for LeMUR with these examples.
tip
If you want a Quickstart, see Apply LLMs to audio files.
Before you start
To use LeMUR, you need an with a credit card set up.
Custom prompt example
If you want to send a custom prompt to the LLM, you can use the LeMUR Task and apply the model to your transcribed audio files.
Ideas to get you started
| Question & Answer | "Identify any patterns or trends based on the transcript" |
| Quote or Citation | "List the timestamp X topic was discussed, provide specific citations" |
| Closed-ended questions | "Did the customer express a positive sentiment in the phone call?" |
| Sentiment analysis | "What was the emotional sentiment of the phone call?" |
| Summaries | "Summarize key decisions and important points from the phone call transcript" |
| Summarize audio segments | "Summarize the key events of each chapter" |
| Generate titles and descriptions | "Generate an attention-grabbing YouTube title based on the video transcript" |
| Generate tags | "Generate keywords that can be used to describe the key themes of the conversation" |
| Action items | "What action items were assigned to each participant?" |
| Generate content | "Generate a blog post with key information presented in bullet points from the transcript" |
| Paraphrasing | "Rephrase X segment from the transcript in a different way" |
You can find more ideas and code examples in the AssemblyAI Cookbook repo on Github.