The company wants to develop multi-skilled, general-purpose AI and believes that large language models are a key step toward that goal. OpenAI’s first two large language models came just a few months apart. For example, “hot dog” means very different things in the sentences “A hot dog should be given lots of water” and “A hot dog should be eaten with mustard.” 2018–2019: GPT and GPT-2 By tracking this contextual information, transformers can handle longer strings of text and capture the meanings of words more accurately. The meaning of words often depends on the meaning of other words that come before or after. The breakthrough behind today’s generation of large language models came when a team of Google researchers invented transformers, a kind of neural network that can track where each word or phrase appears in a sequence.
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