LLM Knowledge Base - Common Terms and Definitions | Promptmetheus

A

AI Programming Interface (AIPI)

Artificial General Intelligence (AGI)

Artificial Intelligence (AI)

B

C

Chain-of-thought Prompting

Compound Prompt

D

Direct Preference Optimization (DPO)

E

Evaluation-driven Development

F

Few-shot Prompt

Foundation Model

Frequency Penalty

G

Generative Pre-trained Transformer (GPT)

H

I

In-context Learning

Integrated Prompting Environment (IPE)

J

L

LLM API Provider

Language Processing Unit (LPU)

Large Language Model (LLM)

Lost-in-the-Middle Effect

M

Machine Learning (ML)

Mixture of Agents (MoA)

Mixture of Experts (MoE)

Mixture of Models (MoM)

Model Context Protocol (MCP)

N

Natural Language Processing (NLP)

O

One-shot Prompt

Open-source Model

Open-weights Model

P

Presence Penalty

Prompt Chaining

Prompt Engineering

Prompt Injection Attack

Prompt Optimization

Proprietary Model

Proximal Policy Optimization (PPO)

R

Reinforcement Learning from Human Feedback (RLHF)

Retrieval-Augmented Generation (RAG)

S

Supervised Fine-Tuning (SFT)

T

Tensor Processing Unit (TPU)

V

Vector Embedding

Z

Zero-shot Prompt

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