Tiny but Mighty: Building Lightweight Models That Love Your Local FilesIn a world of overflowing folders, endless documents, and scattered data, wouldn’t it be great if your local machine could do the heavy lifting for you?

This session introduces a powerful yet lightweight language model (SLM) designed specifically for your local files. Forget the need for cloud-based services or tedious folder searches—this SLM learns directly from the files on your machine as they are added, becoming your personal data assistant.

Overview: We will walk through the process of building a small, efficient language model tailored to handle the specific documents, images, spreadsheets, and notes stored on your local device. The model will dynamically update as new files are added, allowing it to answer questions specific to your data, ranging from document summaries to file-specific insights. No more manually searching across folders—this SLM will do it for you, providing smart responses and extracting the information you need on the fly.

Key Highlights:

Building a Local Language Model: Create a lightweight, custom language model optimized for local use that learns from your files.

Automated File Processing: Capable of working with multiple file types: PDFs, Excel sheets, images and Notepad files, processing new files seamlessly as they appear.

Smart Data Interaction: Get specific answers to your questions based on the contents of your local files without manual searching—ask questions, and the SLM retrieves relevant data instantly.

Summarise documents, extract key information, or perform targeted data searches.

Live Demonstration: Watch the SLM in action as it processes files and responds to real-time queries, transforming your local machine into a smart, personalised data assistant.