Build a Personal LLM System for Your Home

Discover how you can quickly set up a personal Al assistant on a home network using Raspberry Pi.

- Aditya Mitra

The past few years have seen a rapid rise in the fields of artificial intelligence and large language models (LLMs). LLMs have been instrumental in the proliferation of 'modern AI' applications and are significantly better than the natural language processing (NLP)-based home assistants like Amazon Alexa when it comes to text generation or responding to human queries.

LLMs are mostly used as web applications like most other software-as-a-service (SaaS) offerings. And they come with the same risks as that of a SaaS application, the biggest ones being data privacy and sovereignty. When using SaaS applications, we are usually not in control of the data centres where our data is being processed, as well as how it is being saved and whether it may be breached. There has been a history of SaaS applications getting breached and our data ending up in the darknet paste bins, waiting to be sold to the highest bidder. And the same is true of LLMs.