But other times, continuing the text requires an understanding of the sentence, or paragraph-level context – and at a large enough scale, that becomes equivalent to writing. Sometimes, that’s simple: if you see the letters “Jeremy Corby”, it’s likely the next thing you need to do is add an “n”. How does it work?Īt the simplest level, LaMDA, like other LLMs, looks at all the letters in front of it, and tries to work out what comes next. The text it generates is more naturalistic, and in conversation, it is more able to hold facts in its “memory” for multiple paragraphs, allowing it to be coherent over larger spans of text than previous models. Like GPT-3, an LLM from the independent AI research body OpenAI, LaMDA represents a breakthrough over earlier generations. Neural networks are a way of analysing big data that attempts to mimic the way neurones work in brains.
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LaMDA is Google’s most advanced “large language model” (LLM), a type of neural network fed vast amounts of text in order to be taught how to generate plausible-sounding sentences.
The company says he broke confidentiality rules.īut his publication has restarted a long-running debate about the nature of artificial intelligence, and whether existing technology may be more advanced than we believe. Since publishing the conversation, and speaking to the Washington Post about his beliefs, Lemoine has been suspended on full pay.
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