Essential AI Concepts & Terms
This deck covers key terms and foundational concepts in artificial intelligence, including models, learning types, and core technologies. Ideal for beginners and anyone looking to strengthen their AI vocabulary.
CoT
Chain of Thought
AI thinking step-by-step.
AI Agents
Autonomous programs that make decisions.
Foundation Model
Large AI model adaptable to tasks.
Hallucination
When AI generates false information.
MCP
Model Context Protocol
Standard for AI external data access.
Machine Learning
AI improving from data experience.
Transformer
AI architecture for language processing.
Weights
Values that shape AI learning.
RAG
Retrieval-Augmented Generation
AI combining search with responses.
LLM
Large Language Model
AI trained on vast text data.
Deep Learning
AI learning through layered neural networks.
Reinforcement Learning
AI learning from rewards and penalties.
Generative AI
AI that creates text, images, etc.
Neural Network
AI model inspired by the brain.
Compute
Processing power for AI models.
Supervised Learning
AI trained on labeled data.
AI Alignment
Ensuring AI follows human values.
Chatbot
AI that simulates human conversation.
Training
Teaching AI by adjusting its parameters.
NLP
Natural Language Processing
System that understands human language.
Inference
AI making predictions on new data.
TPU
Google's AI-specialized processor.
Prompt Engineering
Crafting inputs to guide AI output.
Explainability
How AI decisions are understood.
Reasoning Model
AI that follows logical thinking.
Ground Truth
Verified data AI learns from.
Fine-tuning
Improving AI with specific training data.
AGI
Artificial general intelligence
AI that can think like humans.
Unsupervised Learning
AI finding patterns in unlabeled data.
Embedding
Numeric representation of words for AI.
AI Wrapper
Simplifies interaction with various AI model providers.
GPU
Hardware for fast AI processing.
Computer Vision
AI that understands images and videos.
Context
Information AI retains for better responses.
AI Model
A trained system for a task.
Parameters
AI's internal variables for learning.
Tokenization
Breaking text into smaller parts.
Vibe Coding
AI-assisted coding via natural language prompts.
ASI
Artificial Super Intelligence
AI that can think like the smartest experts