AI/ML Daily Flashcards

LLM

Attention mechanism · Tokenization & BPE · Temperature & sampling

RAG

Vector embeddings · Chunking strategies · Hybrid search

Agents

ReAct framework · Tool use & function calling · Memory types

Fine-Tuning

LoRA & QLoRA · RLHF & PPO · DPO

MLOps

Model serving · Feature stores · Drift detection

System Design

Recommendation systems · Search ranking · Two-tower models

Transformers

Multi-head attention · Positional encoding · Layer normalization

Python

PyTorch internals · NumPy broadcasting · Generators

Vector DB

HNSW algorithm · FAISS index types · Distance metrics

Behavioral

STAR method · Amazon Leadership Principles · Conflict resolution

Deep Learning

Backpropagation · Activation functions · CNNs & pooling

Machine Learning

Bias-variance tradeoff · Decision trees · XGBoost & LightGBM

Statistics

Central Limit Theorem · Bayes theorem · Hypothesis testing

Computer Vision

CNNs & pooling · Receptive field · ResNet & skip connections

NLP

Tokenization · Word2Vec & GloVe · BERT & embeddings