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I'm currently pursuing a Master's degree at Institut Polytechnique de Paris, specializing in Artificial Intelligence. I'm actively seeking an internship opportunity to apply and expand my skills in this field.
While my primary focus lies in Natural Language Processing (NLP) and AI alignment, I enjoy exploring various aspects of AI to broaden my perspective.
This year, I'm diving deep into a diverse range of AI topics:
- Advanced Deep Learning: Building a solid foundation in deep learning techniques and applications.
- Sequence-to-Sequence Models for NLP and Speech Processing: Mastering state-of-the-art techniques in NLP, including transformers and attention mechanisms.
- Reinforcement Learning: Studying the foundations of RL, from Markov Decision Processes to Monte-Carlo tree search, with applications in games and recommender systems.
- Computer Vision: from Fundamentals to Applications: Exploring generative AI (image generation from text, VAE, Diffusion models, Stable Diffusion), Vision Transformers, and self-supervised learning.
Here's a list of Research Paper I'm currently reading, nothing really original here I'm starting with the basics ;)