Definition: Family of LLMs by OpenAI that pioneered the transformer architecture for text generation.
— Source: NERVICO, Product Development Consultancy
What is GPT
GPT (Generative Pre-trained Transformer) is a family of language models developed by OpenAI that pioneered the use of the transformer architecture for text generation. From GPT-2 through GPT-4 and its successors, these models have set milestones in reasoning capability, code generation, and complex instruction following. GPT has become synonymous with generative AI for many users and businesses.
How It Works
GPT uses the transformer architecture with an autoregressive approach: it generates text by predicting the next token based on all preceding tokens. The model is pre-trained on large volumes of internet text and subsequently fine-tuned through RLHF (Reinforcement Learning from Human Feedback) to align its responses with human expectations. Each new version increases the number of parameters, context window size, and multimodal capabilities.
Why It Matters
GPT has been the catalyst for mass adoption of generative AI in the enterprise sector. Its accessible API enables development teams to integrate natural language capabilities into existing products without training their own models. For technology companies, understanding GPT’s capabilities and limitations is essential for making informed decisions about which model to use for each use case.
Practical Example
A product team uses the GPT-4 API to build an internal assistant that answers questions about the company’s technical documentation. The assistant processes manuals of more than 200 pages and generates precise answers with references to relevant sections, saving the team an average of 3 hours per week on information lookup.