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GPT-1: Generative Pre-training

What Happened

OpenAI released GPT-1, demonstrating that a Transformer trained on vast amounts of text using unsupervised pre-training could then be fine-tuned for specific NLP tasks. With 117 million parameters, it showed the potential of scaling language models.

Why It Mattered

Established the GPT paradigm: unsupervised pre-training at scale, then fine-tuning. Set the foundation for GPT-2, GPT-3, and the entire generative AI revolution.

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