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>

03-rag/cache_model.py

@@ -0,0 +1,12 @@
+# cache_model.py
+#
+# Pre-download the embedding model so build.py doesn't have to fetch it.
+
+from llama_index.embeddings.huggingface import HuggingFaceEmbedding
+
+embed_model = HuggingFaceEmbedding(
+    cache_folder="./models",
+    model_name="BAAI/bge-large-en-v1.5"
+)
+
+print("Embedding model cached in ./models")