If you are looking for a project to keep you busy this weekend you might be interested to know that it is possible to run artificial intelligence in the form of large language models (LLM) on small single board computers (SBC) such as the Raspberry Pi and others. With the launch of the new Raspberry Pi 5 this month its now possible to carry out more power intensive tasks to its increased performance.
Although before you start it’s worth remembering that running AI models, particularly large language models (LLMs), on a Raspberry Pi or other SBCs presents an interesting blend of challenges and opportunities. While you trade off computational power and convenience, you gain in terms of cost-effectiveness, privacy, and hands-on learning. It’s a field ripe for exploration, and for those willing to navigate its limitations, the potential for innovation is significant.
One of the best ways of accessing ChatGPT from your Raspberry Pi setting up a connection to the OpenAI API, building programs using Python, JavaScript and other programming languages to connect to ChatGPT remotely. Although if you are looking for a a more locally installed more secure version which runs AI directly on your mini PC you will need to select a lightweight LLM that is capable of running and answering your queries more effectively.
Running AI models on a Raspberry Pi
Watch the video below to learn more about how this can be accomplished thanks to Data Slayer if you are interested in learning more about how to utilize the power of your mini PC I deftly recommend you check out his other videos.
Source: How to run AI models on a Raspberry Pi and single board computers (SBC)
About The Author
Ibrar Ayyub
I am an experienced technical writer with a Master's degree in computer science from BZU Multan University. I have written for various industries, mainly home automation, and engineering. I have a clear and simple writing style and am skilled in using infographics and diagrams. I am a great researcher and is able to present information in a well-organized and logical manner.