Worked on the rasbt/llms-from-scratch repository to enhance documentation clarity by correcting typos in code comments across multiple files, including appendix_d.py. This effort focused on improving the accuracy and readability of documentation, which supports smoother onboarding and reduces the risk of misinterpretation for contributors. Leveraged Python and Git to navigate the codebase and apply meticulous documentation standards, ensuring consistency throughout the project. Demonstrated attention to detail in maintaining high-quality documentation for a deep learning and machine learning codebase. The work contributed to overall repository quality, making it more accessible and reliable for both new and existing users.