A learning companion.
Local AI is a fully offline, portable workspace where users can download, manage, and chat with powerful Ollama models privately, featuring smart context memory.
Applied Decision Architecture Matrix - Small Language Model
An interactive, privacy-first application for querying the European Union’s AI Act using a local Retrieval-Augmented Generation (RAG) pipeline. Combines semantic search (FAISS) and a quantized TinyLlama LLM for fast, accurate, and context-aware answers—all running on your own hardware.
A local-first, hybrid AI application for computational biology, combining deterministic sequence analysis (Biopython) with locally-run language model reasoning (Phi-4 via Ollama) in a Streamlit interface, keeping the model grounded in verified data. Built to assist life science researchers.
This repository implements a fully offline local SLM benchmark using Ollama, FastAPI, and Instructor. It runs three local models on your machine, evaluates structured JSON extraction quality, and compares inference latency and success across models.
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