Hi, this is Yan Lu. I’m documenting my learning notes in this blog. Besides, I’m a system researcher on sustainable AI systems at New York University.

In the blog, I categorize my notes on the following topics:

• Machine Learning Engineering (workflow)
  • Model Selection (a quick demo)
  • Interactive UI (frontend for machine learning models)
  • Web Backend (API route, rate limit, database)
  • Manage AI Service with Container (docker, docker-compose)
  • Inference Engine (fast serving)
  • Scalable Training Pipeline (distributed training)
  • Hyperparameter Optimization (tuning)
  • Monitor, Debug, Log, Test
• Deep Learning Basics (models and training)
  • Transformers in NLP and Vision
  • CLIP and Its Variants
  • Diffusion and Its Variants
• Research Advances on Sustainable AI
  • Continuous Learning (adapt to new data)
  • Efficient Learning/Transfer (cost-effective adaptation)
• LLM Systems
  • Medical LLMs
  • Efficient LLMs

Most code of this blog is available on DLTK.

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