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:
Product News
Speaker recognition is advancing rapidly. Beyond merely capturing what is said, it reveals who is speaking and how they communicate, paving the way for more advanced communication platforms and assistant apps
Speech-To-Text
2025 marks a significant shift in AI-driven automation with the emergence of Agentic AI—intelligent, autonomous systems capable of reasoning, goal-setting, and adaptive decision-making.
Speech-To-Text
Call centers today face a seemingly insurmountable challenge: cutting costs while improving customer experience (CX). The pressures are immense, and the stakes couldn’t be higher…businesses that fail to adapt risk becoming the next Blockbuster in a Netflix world—bankrupt and left behind by competitors that embrace innovation.
