GPT-2
GPT-2 is an artificial intelligence system developed by OpenAI in 2019 as the successor to GPT-1. Here are some key facts about GPT-2:
- GPT-2 uses the same transformer-based neural network architecture as GPT-1 but is much larger in scale.
- The full model has 1.5 billion parameters, compared to 110 million for GPT-1.
- It was trained on a dataset of 8 million web pages scraped from online sources.
- GPT-2 is designed to predict the next word in a text given all previous words, and generate coherent passages of text.
- It exhibits very high quality text generation ability, with outputs often indistinguishable from human writing.
- GPT-2 displays improved comprehension of long-range context and more common sense knowledge compared to previous models.
- It can perform various language tasks like translating between languages, summarization, and question answering either directly or with task-specific fine-tuning.
- OpenAI originally refused to release the full model, citing concerns about potential misuse of its capabilities.
- Various scaled-down versions of GPT-2 have been released over time for research purposes.
- GPT-2 set impressive benchmarks in language modeling and highlighted concerns around AI ethics and safety.
GPT-2 demonstrated the rapid progress of language models towards advanced text generation through transfer learning approaches.
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