LLMs on Audio Part 2: Get a Custom Summary of Your Audio Files

TL;DR

Learn how to create custom summaries using Assembly AI's Lemur, including using different answer formats and providing context.

Transcript

custom summary allows you to distill a piece of audio into a few impactful sentences first thing that you need to do is to make sure that you have an assembly AI API key so if you do not have that yet go to assemblyai.com and get your free API key and then we're going to install the assembly AI SDK and then import assembly AI and Define our API key... Read More

Key Insights

• 🔠 Custom summaries with Assembly AI's Lemur API can be created by obtaining an API key and using the Python SDK.
• 💁 Parameters such as transcript IDs, answer format, context, and model type can be defined for custom summaries.
• 💨 The basic model offers faster results, while the default model provides better performance.
• 😥 Answer formats can be tailored based on preference, including TLDR, bullet points, and simplified explanations.

Questions & Answers

Q: What is required to create a custom summary using Assembly AI's Lemur?

To create a custom summary, you need an Assembly AI API key. Install the Assembly AI SDK, import it, and define your API key. Then, create a transcriber object using the SDK.

Q: What parameters can be defined for the custom summary model?

Parameters like transcript IDs, answer format, context, and model type can be defined. Transcript IDs are automatically passed through the transcriber object for Python SDK users. Answer format can be chosen based on preference. Context and model type are optional.

Q: How does the basic model differ from the default model in Lemur?

The basic model runs faster but doesn't perform as well as the default model. The default model is chosen by default, but the basic model can be specified for faster results. It's important to consider the trade-off between speed and accuracy.

Q: What are the different answer formats that can be used for custom summaries?

Besides TLDR, bullet points, and explanations for a five-year-old, any answer format can be used. Assembly AI doesn't restrict the options for answer formats, allowing for creative and customized summaries.

Summary & Key Takeaways

• The content discusses the process of creating custom summaries using Assembly AI's Lemur API.

• It covers obtaining an API key, installing the SDK, defining parameters, and creating a transcriber object.

• Different answer formats and additional context can be specified, allowing for customized summaries.