Voice AI interactions - Deepgram & Groq

Ғылым және технология

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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!
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It will be awesome!
#ai #0to1ai #aiprogramming #deepgram #groq #nextjs

Пікірлер: 3

  • @EmotionsFoundation
    @EmotionsFoundation16 күн бұрын

    nice one

  • @EmotionsFoundation
    @EmotionsFoundation16 күн бұрын

    can you share the code

  • @uNki23
    @uNki232 күн бұрын

    come on guys.. HTTP is definitely not the problem if we're talking about >1s latency. I can have responses to HTTP calls from my local machine to AWS within 20-40ms. LLM and STT/TTS are the bottlenecks here

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