Large Language Models (LLMs) have enabled businesses to build advanced AI-driven features, but navigating the many available models and optimization techniques isn't always easy.
If you’re looking to combine speech recognition (STT) and LLMs for cutting-edge voice apps, look no further! Our ultimate guide is finally here, and it’s filled with valuable strategies and hands-on insights from our work with hundreds of audio-first companies and extensive interviews with experts in AI note-taking, sales enablement and customer support.
What you'll learn:
Speech-To-Text
As voice agents become a core part of customer and employee experience, users need to know these AI systems are accurate, safe, and acting within boundaries. That’s especially true for enterprise-grade tools, where a rogue voice agent can severely damage relationships and create major legal risks.
Speech-To-Text
The call center business model has worked well for decades. BPOs supply agents to client companies who pay by the seat or by the hour. More hours means more revenue, and growth inevitably relies on scaling headcount.
Speech-To-Text
Businesses expanding globally face an immediate language barrier. Customers want service in their native tongue, but most companies and call center providers don’t have enough multilingual agents to meet that demand.
