The submission summarized how LLMs learned language from large text corpora, tokenized inputs, used transformer attention to model context, and were pretrained then fine-tuned with human feedback to improve accuracy and safety.

During the image-preprocessing task I converted a color scan to grayscale, removed noise with denoising and Gaussian blur, enhanced contrast, and applied thresholding, producing a cleaner black-and-white document for OCR.