![]() ![]() Human expertise is arguably more important – and sought after – than ever, to create the authoritative and up-to-date information that LLMs can be trained on.” “At their best, large language models can only be as reliable as their training data. But the more original you ask them to be, the likelier they are to go astray. AIs are fantastic at churning through huge amounts of data to extract specific information and consolidate it. Wendalyn Nichols, Cambridge Dictionary’s Publishing Manager, said: “The fact that AIs can ‘hallucinate’ reminds us that humans still need to bring their critical thinking skills to the use of these tools. In Google’s own promotional video for Bard, the AI tool made a factual error about the James Webb Space Telescope. A US law firm used ChatGPT for legal research, which led to fictitious cases being cited in court. ![]() But they can also seem entirely plausible – even while being factually inaccurate or ultimately illogical.ĪI hallucinations have already had real-world impacts. 'When an artificial intelligence (= a computer system that has some of the qualities that the human brain has, such as the ability to produce language in a way that seems human) hallucinates, it produces false information.'ĪI hallucinations, also known as confabulations, sometimes appear nonsensical. The traditional definition of hallucinate is 'to seem to see, hear, feel, or smell something that does not exist, usually because of a health condition or because you have taken a drug'. The Cambridge Dictionary – the world’s most popular online dictionary for learners of English – has updated its definition of hallucinate to account for the new meaning and crowned it Word of the Year for 2023. They ‘hallucinate’ in a confident and sometimes believable manner. This year has seen a surge in interest in generative artificial intelligence (AI) tools like ChatGPT, Bard and Grok, with public attention shifting towards the limitations of AI and whether they can be overcome.ĪI tools, especially those using large language models (LLMs), have proven capable of generating plausible prose, but they often do so using false, misleading or made-up ‘facts’. ![]()
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