Build Audio LLM Apps with AssemblyAI

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LeMUR Cookbooks: Build Audio LLM Apps

LeMUR is the easiest way to code applications that apply LLMs to speech. In just a few lines of code, you can search, summarize, ask questions, and generate text across your audio and video data. Check out the following popular LeMUR resources: 

Real-time Transcription with LeMUR.Detecting scam calls with LeMUR.Processing Speaker Labels with LeMUR. Extracting phone call insights with LeMUR. 

You can also try LeMUR in AssemblyAI’s playground.

🔥 Free Python Course: Build an Audio AI App (1K+ Signups)

The in-depth 4+ hour video course “Build An Audio AI App” created by Talk Python is now available! Learn how to build a speech AI app with podcast audio using AssemblyAI’s speech-to-text and LeMUR‘s LLM capabilities. The course covers creating transcripts from audio, building a search engine on transcripts, leveraging LeMUR for summarization and Q&A, and more. Check our blog for full details.

Fresh From Our Blog

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AI trends in 2024: Graph Neural Networks: From fundamental research to productionized AI models, discover how Graph Neural Networks are used in powering production applications. Read more>>

How to do Speech-To-Text with Go: Integrate speech recognition into your Go application in only a few lines of code. Read more>>

Our Trending YouTube Tutorials

How to Build a RAG Application for Multi-Speaker Audio Data: Learn how to build a RAG application in 10 minutes that can take multiple speakers into account when answering a question. 

Coding an AI Voice Bot from Scratch: Real-Time Conversation with Python:

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