GPT Architecture

Definitions

1. The decoder-only transformer architecture used in the GPT family of autoregressive language models. It influences how models are trained, evaluated, or served, and it can materially change accuracy, robustness, latency, cost, or interpretability. Practitioners usually track it alongside data quality, compute limits, and validation results when moving models into production.

   In plain English: GPT Architecture is an AI concept that affects how a model learns, predicts, or gets deployed. It matters because it changes quality, speed, or reliability.

   Example: "We revisited GPT Architecture during model evaluation because the first run looked fine offline but behaved poorly in production, and the adjustment improved quality without breaking our latency or compute budget."

Related Terms

• Context Window
• Retrieval-Augmented Generation
• Multimodal AI
• AI Agent
• Adapter Layer
• Cross-Attention
• Differential Transformer
• Graph Transformer
• Decoder-Only Transformer
• Positional Encoding
• RoPE