Knowledge Map




Relevant Coursework

Deep Learning, 25

(*Large-Scale AI Engineering, GH200, 25/26)

Systems on Chips, NPU, CUDA, HPC, GAP9, Deeploy, GPGPU, 26

VLSI 2: From Netlist to Complete System on Chip

Introduction to Machine Learning, LLM, 26

Probabilistic Artificial Intelligence, 26

Shape Modeling and Geometry Processing, C++, 26

(Machine Learning for Genomics, Computational Cancer Genomics, 26)

(Vision Algorithms for Mobile Robotics (L+E))

Computational Models of Motion, C++ / Rust, Deep RL, Robotics, 26

Mixed Reality, C++, Blender, SUMO, Unreal / Unity, 25

Visual Computing

(Physically Based Simulation)

Graph Theory, Group Theory, Number Theory

Information Geometry




Model Structures


2025 - 2026


Hospital Robots




Readings


♨️ Zurich



Post-Training Techniques ❄️

  1. Parameter-Efficient Adaptation
    • Adapter
    • LoRA / QLoRA
    • Prefix-tuning
    • Prompt-tuning
    • BitFit
  2. Model Compression and Deployment
    • Knowledge Distillation
    • Quantization
    • Pruning
    • Low-rank factorization
    • Sparse inference
  3. Alignment and Preference Optimization
    • Supervised Fine-Tuning, SFT
    • Instruction Tuning
    • RLHF / RLAIF
    • DPO / IPO / KTO
    • Constitutional AI-style alignment
  4. Model Manipulation
    • Model Editing
    • Model Merging
    • Task Arithmetic
    • Adapter Fusion
    • Weight Averaging
  5. Continual / Domain Adaptation
    • Continual Learning
    • Domain Adaptation
    • Test-Time Adaptation
    • Online Adaptation
  6. Data-Efficient Learning, related but not always post-training
    • Semi-Supervised Fine-Tuning
    • Self-Training
    • Pseudo-labeling
    • Few-shot adaptation


Evaluation / Capability Terms ❄️

  • Zero-shot Learning
  • Few-shot Learning
  • In-context Learning
  • Out-of-distribution Generalization














Check List

  • Reading, Oxygen, Fruits No sugar, Protein
    • Gym, Jogging, Tennis
    • Chatting
    • 🌊 Water
  • Take a Walk 🗣️





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