Build Audio LLM Apps with AssemblyAI
This weekly update contains the latest info on our new product features, tutorials, and our community
Hey 👋, this weekly update contains the latest info on our new product features, tutorials, and our community
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
Extract phone call insights with LLMs in Python: Learn how to automatically extract insights from customer calls with Large Language Models (LLMs) and Python. Read more>>
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: 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.
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