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Newsletter

Improved Audio LLM Docs & AssemblyAI Go SDK

Build with audio data and LLMs using LeMUR - revamped docs with prompt guides, 4 key use cases. AssemblyAI's Go SDK v1.2.0 adds transcript word search and LeMUR data purging.

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Written by

Smitha Kolan

Published on

8 March 2024

We have released new and improved models since this article was published. See our docs for our most current model offerings.

Hey 👋, this weekly update contains the latest info on our new product features, tutorials, and our community.

⚡️LeMUR Docs Update

Our LeMUR documentation received a significant update with a new focus on tutorials and prompt engineering guides. We added four key use cases for LeMUR:

  • Ask questions about your audio data: Learn how to leverage LeMUR's question-answering capabilities to extract insights from your audio files.
  • Summarize your audio data: Discover techniques for generating concise summaries of lengthy audio content using LeMUR. 
  • Extract and generate data: Explore methods to extract structured data from audio and generate new content based on the extracted information.
  • Generate content based on your audio data: Utilize LeMUR's language generation abilities to create new content inspired by your audio files.

Additionally, we've introduced a dedicated prompt engineering guide with curated prompt examples to effectively utilize LeMUR.

AssemblyAI Go SDK: Latest Release

We've released a new version (v1.2.0) of our Go SDK with new features, bug fixes, and enhancements. Here's what's included:

  • Word Search Support: You can now search for specific words within transcripts using the new WordSearch method.
  • LeMUR Request Data Purging: You can now purge the data associated with a LeMUR request using the new PurgeRequestData method. This is useful for maintaining data privacy and compliance.

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Our Trending YouTube Tutorials

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.

Transcribe a live phone call with Python - Flask tutorial: Build a Flask application in Python to transcribe phone calls in real time with AssemblyAI, Twilio, and ngrok.

Live Speech-to-Text With Google Docs Using LLMs (Python Tutorial): Discover how to implement real-time speech-to-text transcription in Google Docs using AssemblyAI's Speech-to-text API and large language models (LLMs) all in Python.