STEM / applied
Natural language processing · Graduate · CS / Programming
Topics
Applications and systems
- Machine translation pipelines
- Question answering and retrieval-augmented generation (intro)
- Sentiment analysis and text classification projects
- Efficient inference and model compression (intro)
- Multilingual and low-resource NLP challenges
Ethics and deployment
- Bias and toxicity in language models
- Privacy and memorization in LMs
- Human-in-the-loop annotation workflows
- Serving NLP models in production APIs
- Research project: replicate a baseline paper
Pricing
Graduate-level rates are set on consultation. See the pricing page for K–12 and undergraduate rates.