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Fine-tuning Large Language Models such as llama-2-7B, llama-2-7B-instruct, and some lighter models like RoBERTa, DistillBERT, and others for labeling texts in my role as NLP Data Scientist at HebrewU.
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Driver Behavior Detection Using Smartphone Signals - A Signal Detection project applying ML to identify risky driver behavior, based on academic publications and open source data-sets.
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Geometry of Information Course Tasks - covering kernel-based methods, spectral graph theory, clustering algorithms (K-means, Spectral), manifold learning, and graph signal processing.
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Semantic Caching for LLM-Based Applications - A small research project for a University course showcasing the effectiveness of caching in textual tasks involving language models.
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De Grandmizer Shtick! - A Generative AI HebrewU CS Hackathon project integrating Text-to-Text, Text-to-Speech and Computer Vision.
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Alfred🤵🏼, a A Personal Assitant that Scarpes and notifies on telegram for new tasks on university moodle site. It also proved to be very useful when running scripts for a long time and wanting to get alerts and updates remotely.
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Predicting Song Popularity using various Machine Learning Regression Models.
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A Deeper Learning of Deep Learning - trying to visualize and learn about how weights are being shaped.
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A project in Textual Statistical Analysis, Sampling, and Statistical Inference .
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Final Exam in Data Analysis with R course - Analysis and visualization of earthquake geographical data.
