AI Glossary

What is GPT?

GPT (Generative Pre-trained Transformer) is a family of large language models developed by OpenAI. The architecture uses decoder-only transformers that are first pre-trained on large text corpora to predict the next token, then fine-tuned with RLHF (Reinforcement Learning from Human Feedback) for instruction following. Major versions include GPT-2 (2019), GPT-3 (2020), GPT-3.5 (2022, powering the original ChatGPT), GPT-4 (2023), and GPT-5 (2025). GPT models pioneered the scaling paradigm in AI, demonstrating that larger models trained on more data exhibit emergent capabilities. The GPT architecture has influenced virtually every subsequent LLM.
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Frequently Asked Questions

What does GPT stand for?

GPT stands for Generative Pre-trained Transformer. It is a family of large language models created by OpenAI that can generate human-like text.

What is the latest GPT model?

As of 2026, the latest GPT model is GPT-5.1, which features enhanced reasoning, longer context windows, and improved multimodal capabilities.

All Glossary Terms
Large Language ModelRetrieval-Augmented GenerationFine-TuningTransformerPrompt EngineeringHallucinationTokenEmbeddingVector DatabaseInferenceDiffusion ModelReinforcement LearningMultimodal AIContext WindowAgentic AIModel Context ProtocolTool UseChain-of-ThoughtDistillationQuantizationMixture of ExpertsLoRARLHFTemperatureZero-Shot / Few-ShotVibe Coding