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A Weekend AI Project: Using Speech Recognition, PTT, and a Large Action Model on a Raspberry Pi

Making “à la Rabbit prototype” with Python, Push-to-Talk, Local, and Cloud LLMs

Dmitrii Eliuseev
TDS Archive
16 min readFeb 3, 2024
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At the beginning of 2024, almost all tech reviewers wrote about Rabbit R1 — the first portable “AI assistant” with a $199 cost. Which uses, according to authors, “neuro-symbolic programming” and a LAM (“Large Action Model”) to perform different tasks. But how does it work? Well, the best way to know is to make the prototype on our own!

Those readers who have never heard about the Rabbit R1 before can find plenty of YouTube reviews like this:

This article was also inspired by the post of Nabil Alouani, who did an interesting analysis of how the Rabbit R1 could be made:

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TDS Archive
TDS Archive

Published in TDS Archive

An archive of data science, data analytics, data engineering, machine learning, and artificial intelligence writing from the former Towards Data Science Medium publication.

Dmitrii Eliuseev
Dmitrii Eliuseev

Written by Dmitrii Eliuseev

Python/IoT developer and data engineer, data science and electronics enthusiast

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