Definition
A Generative Pre-trained Transformer (GPT) serves as the core autoregressive logic engine in RAG pipelines and AI agents, responsible for synthesizing retrieved context into coherent responses or generating structured tool-calling plans; architectural trade-offs prioritize model parameter size for reasoning depth against inference latency and token costs.
Distinguish the model architecture and weights from the consumer-facing chat interface.
"The 'Master Chef' who takes a box of raw, sourced ingredients (Retrieved Context) and follows specific kitchen rules (System Prompt) to prepare a final meal (The Response)."
- LLM(Hypernym)
- Context Window(Resource Constraint)
- Tokenization(Prerequisite)
- Attention Mechanism(Architectural Component)
Conceptual Overview
A Generative Pre-trained Transformer (GPT) serves as the core autoregressive logic engine in RAG pipelines and AI agents, responsible for synthesizing retrieved context into coherent responses or generating structured tool-calling plans; architectural trade-offs prioritize model parameter size for reasoning depth against inference latency and token costs.
Disambiguation
Distinguish the model architecture and weights from the consumer-facing chat interface.
Visual Analog
The 'Master Chef' who takes a box of raw, sourced ingredients (Retrieved Context) and follows specific kitchen rules (System Prompt) to prepare a final meal (The Response).