Understanding Transformers, the machine learning model behind GPT-3
How this novel neural network architecture changes the way we analyze complex data types, and powers revolutionary models like GPT-3 and BERT.
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How this novel neural network architecture changes the way we analyze complex data types, and powers revolutionary models like GPT-3 and BERT.
Nick D Burton Making machines artificially intelligent is a time-consuming practice of collecting and manually labelling data for AIs to learn from. Today, researchers are enabling machines to learn new concepts continuously from far fewer data samples; in 2021, this will continue, as AI systems rely less on human labelling, and more on teaching themselves directly from interactions with users. This will make a big difference to the “intelligence” of AI assistants. Today, it is second nature for us to complete transactional requests with AI assistants, either by issuing requests such as â...