GPT3

GPT-3, or Generative Pre-trained Transformer 3, is a language model developed by OpenAI and released in 2020. It is a decoder-only transformer model with 175 billion parameters, making it one of the largest language models at the time of its introduction. The model is trained to predict the next token in text across a broad corpus of internet text, enabling it to generate coherent and contextually relevant language samples.

GPT-3 was trained on a diverse mixture of sources, including web pages, books, and encyclopedic content. OpenAI described the training data as broad and representative of many domains to support a wide range of writing styles and topics. The model relies on unsupervised pretraining and can perform numerous natural language tasks without task-specific fine-tuning, leveraging few-shot, one-shot, or zero-shot prompting.

Applications and access: GPT-3 is accessible via OpenAI’s API, enabling use in text generation, translation, summarization, question answering, drafting, and even some code generation. Its scale has influenced both academic research and industry, illustrating the potential of large pretrained language models to perform many tasks with minimal task-specific adjustment.

Limitations and safety: Despite capabilities, GPT-3 can produce plausible yet incorrect or biased content and may reflect stereotypes present in training data. It can be sensitive to prompt wording and does not guarantee adherence to user instructions or factual accuracy. OpenAI has implemented safety mitigations, usage policies, and content filtering to address concerns about misinformation, safety, and copyright, while acknowledging the computational resources required for operation.