A computer science instructor developed an offline AI career advisor named GuidanceOS, designed to run entirely on a local GPU without internet access. The system utilizes Google's Gemma 4 model, specifically the `gemma-4-e4b-it` variant, which was loaded using 4-bit quantization to fit within 15GB of VRAM. For matching user skills to jobs and courses, the advisor employs a TF-IDF index built from over 130,000 LinkedIn job postings and Coursera course records, ensuring fast and reproducible results. AI
Summary written by gemini-2.5-flash-lite from 1 source. How we write summaries →
IMPACT Demonstrates practical application of smaller LLMs for specialized, offline tools.
RANK_REASON The article describes a personal project using an existing model for a specific application, not a new model release or significant industry event.