fix(syllabus): update course number, schedule, and PDF layout

- Fix course number 51.07 → 51.17
- Remove duplicate LaTeX course info table
- Update assignment schedule: A3 due Feb 6, A4 released Feb 6/due Feb 16,
  A5 optional/extra credit, Final Project released Feb 16
- Convert relative links to absolute URLs for PDF compatibility
- Add needspace commands to prevent table splits across pages
- Update build-pages.py to strip YAML frontmatter and LaTeX commands
- Fix compile.sh to use lualatex engine

Author: jeremymanning

admin/compile.sh

@@ -1 +1 @@
-pandoc -s -o syllabus.pdf syllabus.md --pdf-engine=xelatex
+pandoc -s -o syllabus.pdf syllabus.md --pdf-engine=lualatex

admin/syllabus.md

@@ -18,7 +18,12 @@
 
 
 def strip_latex_preamble(text):
-    """Remove LaTeX preamble from markdown files."""
+    """Remove YAML frontmatter and LaTeX preamble from markdown files."""
+    if text.startswith("---"):
+        end_match = re.search(r"\n---\s*\n", text[3:])
+        if end_match:
+            text = text[3 + end_match.end() :]
+
     if "\\begin{" not in text:
         return text
     match = re.search(r"^## ", text, re.MULTILINE)
@@ -38,6 +43,10 @@ def convert_latex_table(text):
     Only converts & to | within actual LaTeX tabular environments,
     not in regular markdown content.
     """
+    text = re.sub(r"\\newpage\s*", "", text)
+    text = re.sub(r"\\pagebreak\s*", "", text)
+    text = re.sub(r"\\needspace\{[^}]*\}\s*", "", text)
+
     # Check if there's a LaTeX tabular environment
     if "\\begin{tabular}" not in text:
         # No LaTeX tables - just remove other LaTeX commands but preserve &

admin/syllabus.pdf

@@ -122,7 +122,7 @@ Explore concepts hands-on with our interactive web demos! Each demo runs directl
 - Latent Dirichlet Allocation (LDA) for topic modeling
 - Reading: [Deerwester et al. (1990)](http://wordvec.colorado.edu/papers/Deerwester_1990.pdf) - LSA
 - Reading: [Blei et al. (2003)](https://www.jmlr.org/papers/volume3/blei03a/blei03a.pdf) - LDA
-- **Assignment 3 Released:** [Wikipedia Embeddings](https://contextlab.github.io/llm-course/assignments/assignment-3/) (Due: Feb 2, 11:59 PM EST)
+- **Assignment 3 Released:** [Wikipedia Embeddings](https://contextlab.github.io/llm-course/assignments/assignment-3/) (Due: Feb 6, 11:59 PM EST)
 - 🎮 **Try it:** [Topic Modeling](https://contextlab.github.io/llm-course/demos/topic-modeling/)
 - 📊 [Slides PDF](https://contextlab.github.io/llm-course/slides/week3/lecture10.pdf) | 🌐 [Slides HTML](https://contextlab.github.io/llm-course/slides/week3/lecture10.html)
 
@@ -160,7 +160,6 @@ Explore concepts hands-on with our interactive web demos! Each demo runs directl
 
 **Friday (Lecture 14):** Cognitive Models of Semantic Representation
 - Reading: [Anderson et al. (2016)](https://www.jneurosci.org/content/36/45/11444)
-- **Assignment 4 Released:** [Customer Service Chatbot](https://contextlab.github.io/llm-course/assignments/assignment-4/) (Due: Feb 9, 11:59 PM EST)
 - 🎮 **Try it:** [Embeddings Comparison](https://contextlab.github.io/llm-course/demos/embeddings-comparison/)
 - 📊 [Slides PDF](https://contextlab.github.io/llm-course/slides/week4/lecture14.pdf) | 🌐 [Slides HTML](https://contextlab.github.io/llm-course/slides/week4/lecture14.html)
 
@@ -173,7 +172,6 @@ Explore concepts hands-on with our interactive web demos! Each demo runs directl
 - Attention mechanisms explained
 - Reading: [Bahdanau et al. (2015)](https://arxiv.org/abs/1409.0473) - Neural Machine Translation with Attention
 - Reading: [Vaswani et al. (2017)](https://arxiv.org/abs/1706.03762) - Attention is All You Need
-- **📝 Assignment 3 Due (Feb 2, 11:59 PM EST)**
 - 🎮 **Try it:** [Attention Mechanism](https://contextlab.github.io/llm-course/demos/attention/)
 - 📊 [Slides PDF](https://contextlab.github.io/llm-course/slides/week5/lecture15.pdf) | 🌐 [Slides HTML](https://contextlab.github.io/llm-course/slides/week5/lecture15.html)
 
@@ -186,8 +184,8 @@ Explore concepts hands-on with our interactive web demos! Each demo runs directl
 - 📊 [Slides PDF](https://contextlab.github.io/llm-course/slides/week5/lecture16.pdf) | 🌐 [Slides HTML](https://contextlab.github.io/llm-course/slides/week5/lecture16.html)
 
 **Friday (Lecture 17):** Training Transformers
-- **Assignment 5 Released:** [Build GPT](https://contextlab.github.io/llm-course/assignments/assignment-5/) (Due: Feb 16, 11:59 PM EST)
-- **📝 Assignment 4 Due (Feb 9, 11:59 PM EST)**
+- **📝 Assignment 3 Due (Feb 6, 11:59 PM EST)**
+- **Assignment 4 Released:** [Customer Service Chatbot](https://contextlab.github.io/llm-course/assignments/assignment-4/) (Due: Feb 16, 11:59 PM EST)
 - 📊 [Slides PDF](https://contextlab.github.io/llm-course/slides/week5/lecture17.pdf) | 🌐 [Slides HTML](https://contextlab.github.io/llm-course/slides/week5/lecture17.html)
 ---
 
@@ -207,8 +205,6 @@ Explore concepts hands-on with our interactive web demos! Each demo runs directl
 - 📊 [Slides PDF](https://contextlab.github.io/llm-course/slides/week6/lecture19.pdf) | 🌐 [Slides HTML](https://contextlab.github.io/llm-course/slides/week6/lecture19.html)
 
 **Friday (Lecture 20):** Applications of Encoder Models
-- **Final Project Released:** [Final Project](https://contextlab.github.io/llm-course/assignments/final-project/) (Due: Mar 9, 11:59 PM EST)
-- **📝 Assignment 5 Due (Feb 16, 11:59 PM EST)**
 - 📊 [Slides PDF](https://contextlab.github.io/llm-course/slides/week6/lecture20.pdf) | 🌐 [Slides HTML](https://contextlab.github.io/llm-course/slides/week6/lecture20.html)
 ---
 
@@ -218,6 +214,9 @@ Explore concepts hands-on with our interactive web demos! Each demo runs directl
 - Autoregressive generation
 - Reading: [Radford et al. (2018)](https://cdn.openai.com/research-covers/language-unsupervised/language_understanding_paper.pdf) - GPT-1
 - Reading: [Radford et al. (2019)](https://cdn.openai.com/better-language-models/language_models_are_unsupervised_multitask_learners.pdf) - GPT-2
+- **📝 Assignment 4 Due (Feb 16, 11:59 PM EST)**
+- **Final Project Released:** [Final Project](https://contextlab.github.io/llm-course/assignments/final-project/) (Due: Mar 9, 11:59 PM EST)
+- **Assignment 5 Available (Optional/Extra Credit):** [Build GPT](https://contextlab.github.io/llm-course/assignments/assignment-5/)
 - 🎮 **Try it:** [GPT Playground](https://contextlab.github.io/llm-course/demos/gpt-playground/)
 - 📊 [Slides PDF](https://contextlab.github.io/llm-course/slides/week7/lecture21.pdf) | 🌐 [Slides HTML](https://contextlab.github.io/llm-course/slides/week7/lecture21.html)