Project Proposal: Self-Supervised Learning for Large Language Models (LLMs) in the Deep Learning for Computer Vision Course

Hi Tomer, the topic we chose is Self-Supervised Learning for LLMs as part of the Deep Learning for Computer Vision course. This topic focuses on the self-supervised learning approach, where large language models (LLMs) learn to represent and understand text without manual labeling by leveraging hidden structures within the data. This method enables extracting rich insights from vast and unstructured datasets and serves as the foundation for advanced models like GPT and BERT. We anticipate challenges such as gaining a deep understanding of how self-supervised learning operates and adapting it to various computer vision applications.