{"id":190279,"date":"2024-05-28T16:24:49","date_gmt":"2024-05-28T21:24:49","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2024\/05\/an-alternative-to-conventional-neural-networks-could-help-reveal-what-ai-is-doing-behind-the-scenes"},"modified":"2024-05-28T16:24:49","modified_gmt":"2024-05-28T21:24:49","slug":"an-alternative-to-conventional-neural-networks-could-help-reveal-what-ai-is-doing-behind-the-scenes","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2024\/05\/an-alternative-to-conventional-neural-networks-could-help-reveal-what-ai-is-doing-behind-the-scenes","title":{"rendered":"An Alternative to Conventional Neural Networks Could Help Reveal What AI Is Doing behind the Scenes"},"content":{"rendered":"<p><a class=\"aligncenter blog-photo\" href=\"https:\/\/lifeboat.com\/blog.images\/an-alternative-to-conventional-neural-networks-could-help-reveal-what-ai-is-doing-behind-the-scenes2.jpg\"><\/a><\/p>\n<p>Despite their performance, current AI models have major weaknesses: they require enormous resources and are indecipherable. Help may be on the way.<\/p>\n<p>By <a class=\"\" href=\"https:\/\/www.scientificamerican.com\/author\/manon-bischoff\/\">Manon Bischoff<\/a><\/p>\n<p><a href=\"https:\/\/chatgpt.com\/\">ChatGPT<\/a> has triggered an onslaught of artificial intelligence hype. The arrival of OpenAI\u2019s large-language-model-powered (LLM-powered) chatbot forced leading tech companies to follow suit with similar applications as quickly as possible. The race is continuing to develop a powerful AI model. Meta came out with an LLM called <a href=\"https:\/\/llama.meta.com\/\">Llama<\/a> at the beginning of 2023, and Google presented its Bard model (now called <a href=\"https:\/\/gemini.google.com\/\">Gemini<\/a>) last year as well. Other providers, such as Anthropic, have also delivered <a href=\"https:\/\/www.anthropic.com\/claude\">impressive AI applications<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Despite their performance, current AI models have major weaknesses: they require enormous resources and are indecipherable. Help may be on the way. By Manon Bischoff ChatGPT has triggered an onslaught of artificial intelligence hype. The arrival of OpenAI\u2019s large-language-model-powered (LLM-powered) chatbot forced leading tech companies to follow suit with similar applications as quickly as possible. [\u2026]<\/p>\n","protected":false},"author":661,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[6],"tags":[],"class_list":["post-190279","post","type-post","status-publish","format-standard","hentry","category-robotics-ai"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/190279","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\/661"}],"replies":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/comments?post=190279"}],"version-history":[{"count":0,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/190279\/revisions"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=190279"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=190279"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=190279"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}