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AI Glossary
AI terms in plain English. Someone said a word at you in a meeting — look it up and get on with your day.
Browse by
A
- A/B test
- Abuse detection
- Accelerator
- Accountability
- Accuracy
- Action
- Adversarial example
- Adversarial testing
- Agent handoff
- Agent loop
- Agent state
- Agentic AI
- Agentic workflow
- AI adoption
- AI agent
- AI automation
- AI coding assistant
- AI compliance
- AI fluency
- AI governance
- AI inventory
- AI literacy
- AI maturity
- AI operating model
- AI pair programming
- AI policy
- AI readiness
- AI regulation
- AI roadmap
- AI safety
- AI security
- AI strategy
- AI transformation
- AI use case
- Algorithm
- Algorithmic impact assessment
- Alignment
- API
- API gateway
- API key
- Approval gate
- Architecture
- Artificial general intelligence
- Artificial intelligence
- Artificial superintelligence
- Attack surface
- Attention
- Audio model
- Audit trail
- Auditability
- Authentication
- Authentication token
- Authorization
- Automated decision-making
- Automatic speech recognition
- Automation
- Autonomous agent
- Autoscaling
B
C
- Caching
- Capability
- Capability discovery
- Capability overhang
- Catastrophic forgetting
- Center of excellence
- Chain of thought
- Chain-of-thought prompting
- Change management
- Chat model
- Checkpoint
- Chunk overlap
- Chunk size
- Chunking
- CI/CD
- Citation grounding
- Client library
- Closed model
- Cloud computing
- Cloud provider
- Cluster
- Code completion
- Code generation
- Code review
- Cold start
- Commit
- Completion
- Compute
- Compute efficiency
- Concurrency
- Condition
- Conformity assessment
- Confusion matrix
- Connector
- Consent
- Container
- Content moderation
- Context engineering
- Context provider
- Context source
- Context window
- Continual learning
- Cosine similarity
- Cost per million tokens
- Cost per request
- CPU
- Critique prompt
- Cron job
- Cross-modal retrieval
- Curriculum learning
D
- Data annotation
- Data augmentation
- Data catalog
- Data cleaning
- Data exfiltration
- Data governance
- Data ingestion
- Data labeling
- Data lake
- Data lakehouse
- Data leakage
- Data lineage
- Data minimization
- Data pipeline
- Data poisoning
- Data privacy
- Data processing agreement
- Data protection impact assessment
- Data provenance
- Data quality
- Data residency
- Data transformation
- Data warehouse
- Database
- Dataset
- Debugging
- Decision node
- Decomposition
- Deep learning
- Delimiters
- Dense retrieval
- Dependency
- Deployment
- Deterministic output
- Diffusion model
- Direct preference optimization
- Distillation
- Distributed training
- Document database
- Documentation requirement
- Domain adaptation
- Dual-use
E
F
G
H
I
- Idempotency
- Image editing
- Image generation
- Image understanding
- Image-to-image
- Impact assessment
- Indirect prompt injection
- Inference
- Inference compute
- Inference cost
- Inference endpoint
- Inference-time scaling
- Inpainting
- Input tokens
- Instruction tuning
- Integration layer
- Integration test
- Intelligent automation
- Interoperability
- Interpretability
- Isolation
J
K
L
M
- Machine learning
- Manual review
- Max tokens
- MCP client
- MCP prompt
- MCP resource
- MCP server
- MCP tool
- Mechanistic interpretability
- Membership inference
- Memory
- Memory bandwidth
- Merge
- Metadata filtering
- Middleware
- Misuse
- Mixture of experts
- Modality
- Model
- Model alignment
- Model card
- Model compression
- Model Context Protocol
- Model extraction
- Model governance
- Model inventory
- Model leakage
- Model poisoning
- Model router
- Model serving
- Multi-agent system
- Multimodal AI
- Multimodal prompt
N
O
P
- Package
- Parallel step
- Parallelism
- Parameter
- Parameter count
- Pass rate
- Payload
- Persona prompt
- PHI
- PII
- Pilot
- Planner
- Planning horizon
- Post-training
- Precision
- Preference data
- Pretraining
- Production deployment
- Prohibited AI practice
- Prompt
- Prompt chaining
- Prompt engineering
- Prompt injection
- Prompt leakage
- Prompt library
- Prompt optimization
- Prompt template
- Prompt variable
- Prompt versioning
- Proof of concept
- Proprietary model
- Protocol
- Pull request
- Purpose limitation
Q
R
- Rate limiting
- Re-ranking
- Reasoning model
- Reasoning trace
- Recall
- Recordkeeping
- Red teaming
- Refactoring
- Reflection prompt
- Refusal
- Regression test
- Reinforcement learning
- Reinforcement learning from AI feedback
- Reinforcement learning from human feedback
- Relational database
- Relevance
- Remote tool
- Repository
- Representation learning
- Request
- Reskilling
- Resource URI
- Response
- Responsible AI
- REST API
- Retrieval
- Retrieval quality
- Retrieval-augmented generation
- Retriever
- Retry
- Return on investment
- Reward model
- Right to explanation
- Risk assessment
- Risk tier
- Robotic process automation
- Robustness
- Role prompting
- Routing model
- Rubric
- Rule-based automation
S
- Safety filter
- Safety policy
- Sampling
- Sandbox
- Scaling law
- Scheduled workflow
- Schema
- SDK
- Search over reasoning
- Secrets management
- Self-attention
- Self-consistency
- Semantic search
- Semi-structured data
- Server
- Serverless
- Service-level agreement
- Shadow AI
- Sharding
- Short-term memory
- Similarity score
- Small language model
- Sparse retrieval
- Sparsity
- Speech recognition
- Speech synthesis
- SQL
- Stop sequence
- Streaming
- Structured data
- Structured output
- Structured prompt
- Student model
- Subagent
- Supervised fine-tuning
- Supply-chain risk
- Synthetic data
- System card
- System prompt
T
- Task queue
- Teacher model
- Temperature
- Test generation
- Test set
- Test-time compute
- Text-to-image
- Text-to-speech
- Text-to-video
- Third-party risk
- Threat model
- Throughput
- Timeout
- Token
- Token cost
- Tokenization
- Tokenizer
- Tool approval
- Tool calling
- Tool error
- Tool permission
- Tool registry
- Tool result
- Tool routing
- Tool schema
- Tool selection
- Tool use
- Top-p
- Total cost of ownership
- TPU
- Training
- Training compute
- Training run
- Transfer learning
- Transformer
- Transparency
- Tree of thoughts
- Trigger