About this blog
- Course notes
- In many cases the original notes are sparse
- It might be best to add the video transcript in a collapsed callout to the notes. This can then allow using RAG on the whole lesson in a single page.
- This makes more sense of the longer videos as this is where the disparity between the notes and the video is the largest.
- If transcripts are included, it is best to split them using titles which contain a question which the speaker is answering.
- Also it is a good idea to link to the slide being shown if this is available.
- Labs.
- Labs that are very long should be broken down into smaller parts if possible.
- Reflection on the material
- Other re-sources with better/deeper explanation for harder topics.
- Stanford NLP course -
- Speech and Language Processing
- CMU 11-737
- It looks like for some chapter it would be near to extract the engineering aspect of the model into a code snippet or formula. But this should be kept separate from the notes as it can be distracting.
- I’ve reviewed relevant papers on NLP
- Ideally each
Resources
People
Guest Speakers, TA and other contributors
Citation
BibTeX citation:
@online{bochman2025,
author = {Bochman, Oren},
title = {About},
date = {2025-02-12},
url = {https://orenbochman.github.io/notes-nlp/about.html},
langid = {en}
}
For attribution, please cite this work as:
Bochman, Oren. 2025. “About.” February 12, 2025. https://orenbochman.github.io/notes-nlp/about.html.
