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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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: Learn how to build a real-time AI voice assistant using Python that transcribes real-time speech, generates AI responses, and provides a human-like conversational experience.

4 LLM frameworks to build AI apps with voice data: Discover 4 LLM frameworks to build AI apps with voice data: LeMUR, LangChain, LlamaIndex and Haystack.