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ML Fundamentals

Classical ML algorithms, learning theory, evaluation methods

16 terms

ML Fundamentals LLM & Generative AI
Agentic workflows
에이전트 워크플로우
Agentic workflows are dynamic workflows in which multiple specialized AI agents collaborate to plan, reason, use tools, …
LLM & Generative AI Deep Learning ML Fundamentals
BERT
버트
BERT (Bidirectional Encoder Representations from Transformers) is a transformer-based language model introduced by Googl…
ML Fundamentals Math & Statistics
F1-Score
F1 점수
F1 Score is a single number that balances two things a classifier must get right: precision (how many predicted positive…
Deep Learning ML Fundamentals Infra & Hardware
GPU
그래픽 처리 장치
A GPU (Graphics Processing Unit) is a processor built with thousands of small cores to execute many operations in parall…
LLM & Generative AI Deep Learning ML Fundamentals
LLM
대규모 언어 모델
A Large Language Model (LLM) is a deep learning model trained on massive text corpora to understand and generate human l…
ML Fundamentals
MARL
다중 에이전트 강화학습
Multi-Agent Reinforcement Learning (MARL) is an AI technique where multiple agents learn by interacting with each other …
ML Fundamentals LLM & Generative AI
multi-stage training
다단계 학습
Multi-stage training is a method for developing AI models—especially large language models (LLMs)—by progressively impro…
LLM & Generative AI Deep Learning ML Fundamentals
NLP
자연어 처리
Natural Language Processing (NLP) is a branch of artificial intelligence that enables computers to read, understand, and…
ML Fundamentals LLM & Generative AI
post-training
후 훈련
Post-training refers to the set of processes and techniques applied to a machine learning model after it has been initia…
ML Fundamentals LLM & Generative AI
pre-training
사전 훈련
Pre-training is the process of initializing a machine learning model by training it on a large, generic dataset before f…
LLM & Generative AI ML Fundamentals Data Engineering
RAG
검색 증강 생성
Retrieval-Augmented Generation (RAG) is an architecture that improves LLM outputs by retrieving relevant information fro…
ML Fundamentals
reinforcement learning
강화 학습
Reinforcement learning is a type of machine learning where AI agents learn to achieve optimal results through feedback f…
ML Fundamentals LLM & Generative AI
RLHF
인간 피드백 기반 강화학습
Reinforcement Learning from Human Feedback is a method where AI learns better behaviors by using human-provided evaluati…
LLM & Generative AI Deep Learning ML Fundamentals
Self-Attention
셀프 어텐션
Self-attention is a mechanism where each element in an input sequence compares itself with all other elements to compute…
ML Fundamentals LLM & Generative AI
supervised fine-tuning
지도 미세 조정
Supervised fine-tuning is the process of further training a pre-trained AI model using additional labeled data, where hu…
LLM & Generative AI Deep Learning ML Fundamentals
Transformer
트랜스포머
A Transformer is a neural network architecture that uses self-attention so each token in a sequence can look at every ot…