Material for the Advanced Machine Learning Course Part 1, Indiana University

Material for Advanced Machine Learning and Diffusion Models / LLMs

Code examples how to pull embeddings from GPT and VoyageAI (Claude) for hybrid classical/quantum computing experiments can be found in my Python Tutorial repo on GitHub.

In particular, these notebooks are relevant:

• Getting [MASK] probabilities from BERT (for Diffusion Models)
• Anthropic / VoyageAI Embeddings
• OpenAI Embeddings
• BERT Embeddings
• Tokenizers (Classical, WordPiece, BERT tokenizer, Byte Pair Encoding)

The DiffusionBERT and generic diffusion model examples will follow ASAP.