인공지능

Model 분류

학습 방식에 따른 분류

• Supervised Learning
  • Regression
  • Classification
• Unsupervised Learning
  • Clustering
  • Dimensionality Reduction
  • Anomaly Detection
• Semi-supervised Learning
• Reinforcement Learning
  • Reinforcement Learning from Human Feedback (RLHF)
• Self-supervised Learning
• Transfer Learning
  • Few-shot Learning
  • Zero-shot Learning
• Meta Learning
• Active Learning
• Imitation Learning
• Curriculum Learning
• Multi-task Learning
• Continual Learning
• Federated Learning
• Weakly Supervised Learning

모델 유형

• Neural Networks
  • Deep Learning
  • Graph Neural Networks
  • Attention Mechanisms
  • Transformers
  • Self-Attention
• Generative Models
  • Large Language Models (LLMs)
  • Open Source LLM
  • Diffusion Models
  • Generative Adversarial Networks (GANs)
  • Variational Autoencoders (VAEs)
• Bayesian Methods
• Evolutionary Algorithms
• Ensemble Methods
• Neuro-Symbolic AI

응용 분야

• Natural Language Processing (NLP)
• Computer Vision
  • Object Detection
  • Face Detection
  • Edge Detection
• Document Understanding
  • Optical Character Recognition (OCR)
  • Document Layout Analysis
  • Information Extraction
  • Document Classification
  • Form Understanding
• Time Series Analysis
• Recommendation Systems
• Fraud Detection
• Intrusion Detection
• Emotion Detection
• Speech Detection
• Pattern Detection
• Change Detection
• Knowledge Graphs
• Causal Inference
• Swarm Intelligence
• Quantum Machine Learning
• Edge AI
• Multimodal Learning
• Zero-Shot Cross-Lingual Transfer

모델 최적화 및 개선

• Explainable AI (XAI)
• Automated Machine Learning (AutoML)
• Hyperparameter Optimization
• Neural Architecture Search (NAS)
• Model Compression
• Model Quantization
• Model Pruning
• Knowledge Tracing
• Knowledge Distillation
• Domain Adaptation
• Adversarial Machine Learning
• Contrastive Learning

모델 서빙

• LLM Serving Platform
• vLLM
• TensorRT-LLM
• Triton Inference Server

추론 하드웨어

• GPU
• AI Inference Accelerator

모델 활용 기법

• Prompt Engineering
• Fine-tuning
• Parameter-Efficient Fine-Tuning (PEFT)
• Low-Rank Adaptation (LoRA)
• Retrieval-Augmented Generation (RAG)
• Chain of Thought (CoT)
• Tree of Thoughts (ToT)

개선방식

• Human In The Loop (HITL)
• Human On The Loop (HOTL)
• AI in the Loop (AIL)
• User In the Loop (UIL)

데이터 관리

• Data Catalog
• Data Lineage
• Data Governance
• Data Quality Management
• Metadata Management
• Feature Store