Generative Pre-trained Transformers (GPT) are advanced language models developed by OpenAI, designed to understand and generate human-like text. They utilize the transformer architecture, a deep learning framework that excels in processing sequential data, making them particularly effective for natural language processing (NLP) tasks.
Key Features of GPT Models:
- Pre-training and Fine-tuning: GPT models undergo a two-phase training process. In the pre-training phase, they are exposed to vast amounts of text data to learn language patterns and structures. Subsequently, they can be fine-tuned on specific datasets to specialize in particular tasks, such as translation or summarization.
- Generative Capabilities: These models can generate coherent and contextually relevant text based on a given prompt, enabling applications like content creation, code generation, and conversational agents.
- Scalability: GPT models have demonstrated that increasing model size and training data can enhance performance across various NLP tasks, leading to the development of larger and more powerful versions over time.