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Final project for the T-725-MALV course at Reykjavik University (Fall 2024), exploring Large Language Models (LLAMA, BERT) for anomaly detection in system logs through fine-tuning and benchmarking against traditional methods.
A large language model based on conversations with my OpenAI GPT-4 model, Juniper. Juniper2.0's purpose will be to assist as an educational tool and resource for disadvantaged, new and late learners to enter the tech space.
This innovative Python project transforms static images into captivating, stylized GIFs using advanced machine learning techniques. By leveraging the power of PyTorch and the Microsoft ResNet-50 model, this tool applies unique style transfers, rotations, and visual enhancements to create eye-catching animated GIFs
ResurrectAI is an AI-driven chat application designed to bring the wisdom and knowledge of great historical personalities to life. Leveraging advanced language models and fine-tuning techniques, ResurrectAI enables users to interact with AI avatars of iconic figures, gaining access to their insights, guidance, and philosophical teaching in realtime
Medical Language Model fine-tuned using pretraining, instruction tuning, and Direct Preference Optimization (DPO). Progresses from general medical knowledge to specific instruction following, with experiments in preference alignment for improved medical text generation and understanding.