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
When people talk about recent AI advancements, Large Language Models (LLMs) like ChatGPT often steal the limelight. They summarize, write, and generate text with impressive fluency, making them the poster child of generative AI.
Product News
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.
Speech-To-Text
The revolution in both LLMs and voice technology in recent years has opened up unprecedented opportunities for startups. From virtual meeting assistants to AI voice agents, speech-to-text (STT) capabilities are becoming central to modern applications. However, choosing the right STT API provider involves navigating a complex landscape of technical specifications, features, and trade-offs that can significantly impact your product's success.
