Voice AI interactions – Deepgram & Groq

Опубликовано: 01 Январь 1970
на канале: Zaiste Programming
1,433
37

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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

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It will be awesome!

#ai #0to1ai #aiprogramming #deepgram #groq #nextjs


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