Voice AI interactions – Deepgram & Groq
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Creating a voice AI assistant is challenging because it involves three key components: converting speech to text, processing queries with an LLM, and transforming text back into speech. Each step adds significant latency, making interactions with the assistant feel less natural and human-like.
Discover how to minimize latency in your AI applications with LPU. Improve UX by implementing AI-driven voice interactions. Leverage cutting-edge Web APIs to seamlessly connect components and create a human-like AI assistant.
You will learn:
✅ Deep dive into Deepgram
✅ Different modes of Deepgram
✅ LLM, Inference Speed, and Groq Cloud
✅ Benefits of using LLama3 from Meta
✅ Next.js and AI from Vercel to connect all pieces
🎁 BONUS: 50$ discount for upcoming Oto1AI course!
See you soon!
It will be awesome!
#ai #0to1ai #aiprogramming #deepgram #groq #nextjs
Watch video Voice AI interactions – Deepgram & Groq online without registration, duration hours minute second in high quality. This video was added by user Zaiste Programming 01 January 1970, don't forget to share it with your friends and acquaintances, it has been viewed on our site 1,433 once and liked it 37 people.