{"id":201280,"date":"2024-12-11T10:44:17","date_gmt":"2024-12-11T16:44:17","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2024\/12\/why-do-neural-networks-hallucinate-and-what-are-experts-doing-about-it"},"modified":"2024-12-11T10:44:17","modified_gmt":"2024-12-11T16:44:17","slug":"why-do-neural-networks-hallucinate-and-what-are-experts-doing-about-it","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2024\/12\/why-do-neural-networks-hallucinate-and-what-are-experts-doing-about-it","title":{"rendered":"Why Do Neural Networks Hallucinate (And What Are Experts Doing About It)?"},"content":{"rendered":"

<\/a><\/p>\n

Originally published on Towards AI.<\/p>\n

AI hallucinations are a strange and sometimes worrying phenomenon. They happen when an AI, like ChatGPT, generates responses that sound real but are actually wrong or misleading. This issue is especially common in large language models<\/a> (LLMs<\/a>), the neural networks that drive these AI tools. They produce sentences that flow well and seem human, but without truly \u201cunderstanding\u201d the information they\u2019re presenting. So, sometimes, they drift into fiction. For people or companies who rely on AI for correct information, these hallucinations can be a big problem \u2014 they break trust and sometimes lead to serious mistakes.<\/p>\n

So, why do these models, which seem so advanced, get things so wrong? The reason isn\u2019t only about bad data or training limitations; it goes deeper, into the way these systems are built. AI models operate on probabilities, not concrete understanding, so they occasionally guess \u2014 and guess wrong. Interestingly, there\u2019s a historical parallel that helps explain this limitation. Back in 1931, a mathematician named Kurt G\u00f6del made a groundbreaking discovery. He showed that every consistent mathematical system has boundaries \u2014 some truths can\u2019t be proven within that system. His findings revealed that even the most rigorous systems have limits, things they just can\u2019t handle.<\/p>\n","protected":false},"excerpt":{"rendered":"

Originally published on Towards AI. AI hallucinations are a strange and sometimes worrying phenomenon. They happen when an AI, like ChatGPT, generates responses that sound real but are actually wrong or misleading. This issue is especially common in large language models (LLMs), the neural networks that drive these AI tools. They produce sentences that flow [\u2026]<\/p>\n","protected":false},"author":662,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2229,6],"tags":[],"class_list":["post-201280","post","type-post","status-publish","format-standard","hentry","category-mathematics","category-robotics-ai"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/201280","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/users\/662"}],"replies":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/comments?post=201280"}],"version-history":[{"count":0,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/201280\/revisions"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=201280"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=201280"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=201280"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}