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A hyper-functional, sleek, and fully local web-based AI interface built with Node.js and powered by Ollama. It offers intelligent research modes, customizable AI behaviors, and Markdown conversion—perfect for deep exploration or quick answers, all with zero tracking or API keys required.
This repository applies transfer learning with the Llama 3.2-1B/Gemma model for sentiment classification using the SST-2 dataset. The project involves freezing base model parameters, adding task-specific layers, and training for optimal performance. Results are analyzed and compared between zero-shot and transfer learning outputs.