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Local-first AI clipping studio - turn long videos into ready-to-post vertical Shorts entirely on your own PC. Multimodal clip detection, speaker-aware face tracking, editable captions, AI edit chat. No cloud AI, no fees.
This project presents a medical question–answering language model built by fine-tuning Google Gemma-2-2B-IT using LoRA (Low-Rank Adaptation) 🧠⚕️. The primary objective is to adapt a general-purpose large language model to the healthcare domain in a parameter-efficient, reproducible, and resource-aware manner.
💎 AI-powered Business Intelligence platform that transforms business CSVs into dashboards, forecasts, AI reports, and smart invoices using Google Gemma 4.
🧪 70-test, 6-model AI benchmark: Gemma 4 vs Gemini Pro vs Flash vs Qwen. 420 verified runs across 13 categories. All prompts, rubrics, runner code & raw results included. Code executed, constraints verified, prompt injection confirmed on Vertex AI Studio.
Gemma-2b-it LLM has been finetuned on a dataset of Python codes, enabling it to proficiently learn Python syntax and assist in debugging tasks, offering valuable guidance to programmers.
A practice-first platform helping non-technical business owners master AI prompting through interactive coaching, comparison tools, and hands-on agent simulations.
This is a sample notebook that can be used for exploring the fine-tuning of LLM using Unsloth Library. The LLM used for the experimentation is Google Gemma.