PERSONAL AI ASSISTANT 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 Al’ 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 an 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 applica- tions getting breached and our data ending up in the darknet pastebins, waiting to be sold to the highest bidder. And the same is true of LLMs.

For example, the recent DeepSeek breach may have leaked over a million sensitive records. Similarly, there was a huge OpenAI breach in July 2024. In March 2024, there was a data breach in a Google Gemini system where mali- cious actors allegedly leaked personal information related to approximately 5.7 million Gemini users. Even Anthropic was a victim of a third-party data breach in January 2024. This shows LLM systems have major vulnerabilities when it comes to protecting user data.