| Type | Filename  | Size | Date | |
|---|---|---|---|---|
| Lab 6 (LLMs) Prompt templates, LangChain Expression Language (LCEL), Chatbots with memory and Agents with tools using LangChain and LangGraph. Zero-shot NER extractions with GPT-4.1. Parameter efficient fine-tuning with LoRA. Faster inference with TGI. Serve LLM apps with Gradio. | 104.18 KB | 6/19/25 | ||
| Lab 5 (Text/Token Classification with Transformers) Text and token classification with Transformers in PyTorch using HuggingFace🤗. Parameter efficient fine-tuning with LoRA. | 53.95 KB | 6/10/25 | ||
| Lab 4 (Text Classification w/ CNNs) Text classification with CNNs in PyTorch. | 346.43 KB | 6/4/25 | ||
| Lab 3 (Text Classification w/ RNNs) Text classification with RNNs in PyTorch. | 378.24 KB | 5/21/25 | ||
| Lab 2 (Text Classification w/ MLPs) Introduction to PyTorch. Text classification with MLPs using tf-idf vectors and centroids of pretrained word2vec embeddings. Example with word2vec word embeddings with gensim. | 550.68 KB | 5/9/25 | ||
| Lab 1 (N-gram Language Models) Introduction to the NLTK library. Tokenization and N-gram Language Models (LMs). Cross-entropy and perplexity of LMs. Beam-search decoding. | 528.32 KB | 4/7/25 |
