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The democratization of LLMs and the availability of powerful speech to text (STT) models have enabled businesses across industries to integrate voice-based AI into their products.
But building and deploying transcription, translation, and audio analysis can be a complex and daunting task.
This expert guide includes everything you need to know to successfully create and scale async and real-time audio features, including:
The pros and cons of open-source vs proprietary models
Best practices for optimizing LLM performance
Key metrics to measure the success of STT systems
A checklist for evaluating vendors
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