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
Real-time voice AI agents are among the most demanding applications in modern software engineering. Unlike traditional request-response systems, where latency can be measured in hundreds of milliseconds, voice agents must maintain the illusion of natural human conversation.
Speech-To-Text
The large language model sits at the heart of every modern voice agent. Speech-to-text and text-to-speech handle the audio, but the LLM fundamentally determines how intelligent, helpful, and natural your agent feels to users.
Speech-To-Text
The promise of voice AI for customer service is compelling. We now have intelligent agents that can handle inquiries, update records in real-time, and provide instant access to critical business data.
