Initial commit: LLM workshop materials

Five modules covering nanoGPT, Ollama, RAG, semantic search, and neural networks.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

README.md

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+# LLMs for Engineers
+
+**CHEG 667-013 — Chemical Engineering with Computers**  
+Department of Chemical and Biomolecular Engineering, University of Delaware
+
+A hands-on workshop on Large Language Models and machine learning for engineers. Learn how to train a GPT from scratch, run local models, build retrieval-augmented generation systems, then tie it back to underlying machine learning methods by implementing a simple neural network.
+
+## Sections
+
+| # | Topic | Description |
+|---|-------|-------------|
+| [01](01-nanogpt/) | **nanoGPT** | Train a small transformer on Shakespeare. Explore model parameters, temperature, and text generation. |
+| [02](02-ollama/) | **Local models with Ollama** | Run pre-trained LLMs locally. Summarize documents, query arXiv, generate code, build custom models. |
+| [03](03-rag/) | **Retrieval-Augmented Generation** | Build a RAG system: chunk documents, embed them, and query with an LLM grounded in your own data. |
+| [04](04-semantic-search/) | **Advanced retrieval** | Hybrid BM25 + vector search with cross-encoder re-ranking. Compares summarization versus raw retrieval. |
+| [05](05-neural-networks/) | **Building a neural network** | Implement a one-hidden-layer network from scratch in numpy, then in PyTorch. Fits $C_p(T)$ data for N₂. |
+
+
+
+## Prerequisites
+
+- A terminal (macOS/Linux, or WSL on Windows)
+- Python 3.10+
+- Basic comfort with the command line
+- [Ollama](https://ollama.com) (sections 02–04)
+
+## Getting started
+
+Clone this repository and work through each section in order:
+
+```bash
+git clone https://lem.che.udel.edu/git/furst/llm-workshop.git
+cd llm-workshop
+```
+
+Each section has its own `README.md` with a full walkthrough, exercises, and any code or data needed.
+
+### Python environment
+
+Create a virtual environment once and reuse it across sections:
+
+```bash
+python3 -m venv llm
+source llm/bin/activate
+pip install numpy torch matplotlib
+```
+
+Sections 03 and 04 have additional dependencies listed in their `requirements.txt` files.
+
+## License
+
+MIT
+
+## Author
+
+Eric M. Furst, University of Delaware