Enhancing Our Speech-to-Text Models with Google v5e TPUs and 🎉100K on YouTube

AssemblyAI recently celebrated hitting 100K subscribers on YouTube, highlighting a variety of popular videos since starting the channel. They've also introduced LeMUR, a framework for applying Language Models to audio data and provided tutorials on how to build LangChain Audio Apps with Python in five minutes and integrate audio into LangChain.js apps in five minutes. AssemblyAI is participating at AWS re:Invent from November 27-30th where they will discuss their collaboration with Google Cloud TPUs, which enhances speech recognition capabilities. This collaboration also provides better cost efficiency, advances the Conformer-2 model for large-scale testing and ensures smooth compatibility across platforms. Furthermore, AssemblyAI has released new blog posts on real-time transcription in Python, automatically determining video sections with AI using Python, and how to get Zoom Transcripts using the Zoom API using Python.