Local LLM-Powered Voice Assistant on a single GPU [Llama-3-70B-Instruct]

The recent GPT-4o audio demo proved that an LLM-powered voice assistant done correctly could create an awe-inspiring experience. Unfortunately, GPT-4o's audio feature is not publicly available. Instead of busy waiting, we will show you how to build a voice assistant of the same caliber right now in less than 400 lines of Python using Picovoice's on-device voice AI and local LLM stacks.
Why use Picovoice's tech stack instead of OpenAI? Picovoice is on-device, meaning voice processing and LLM inference are performed locally without the user's data traveling to a third-party API. Products built with Picovoice are private by design, compliant (GDPR, HIPPA, ...), and real-time without unreliable network (API) latency.
Blog: picovoice.ai/b...
GitHub: github.com/Pic...

[@SyamsQbattar]

can it integrated to LM studio and anythingLLM?

[@picovoice]

yes

[@SyamsQbattar]

@@picovoice how to do it?