{"id":596,"date":"2023-11-27T16:29:33","date_gmt":"2023-11-27T09:29:33","guid":{"rendered":"https:\/\/xuhuongai.com\/?p=596"},"modified":"2023-11-29T16:49:00","modified_gmt":"2023-11-29T09:49:00","slug":"khi-nha-khoa-hoc-doi-mat-voi-luong-lon-bai-bao-khoa-hoc-ai-tham-gia-ho-tro","status":"publish","type":"post","link":"https:\/\/xuhuongai.com\/?p=596","title":{"rendered":"Khi nh\u00e0 khoa h\u1ecdc \u0111\u1ed1i m\u1eb7t v\u1edbi l\u01b0\u1ee3ng l\u1edbn b\u00e0i b\u00e1o khoa h\u1ecdc, AI nh\u1eadp cu\u1ed9c h\u1ed7 tr\u1ee3"},"content":{"rendered":"\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p>B\u1ea3n tin \u0111\u01b0\u1ee3c t\u00f3m t\u1eaft Anh-Vi\u1ec7t b\u1edfi n\u1ec1n t\u1ea3ng t\u1ea1o tr\u1ee3 l\u00fd AI \u2013&nbsp;<a href=\"https:\/\/about.kamimind.ai\/\" target=\"_blank\" rel=\"noreferrer noopener\">KamiMind<\/a>.<\/p>\n<cite>Ngu\u1ed3n: Jeffrey Brainard, &#8220;<a href=\"https:\/\/www.science.org\/content\/article\/scientists-face-flood-papers-ai-developers-aim-help\" target=\"_blank\" rel=\"noreferrer noopener\">As scientists face a flood of papers, AI developers aim to help<\/a>&#8220;, Science.org, 21\/11\/2023.<\/cite><\/blockquote>\n\n\n\n<p>B\u00e0i b\u00e1o tr\u00ecnh b\u00e0y v\u1ec1 s\u1ef1 ph\u00e1t tri\u1ec3n c\u1ee7a c\u00e1c c\u00f4ng c\u1ee5 tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o (AI) trong vi\u1ec7c h\u1ed7 tr\u1ee3 c\u00e1c nh\u00e0 khoa h\u1ecdc t\u00ecm hi\u1ec3u v\u00e0 ti\u1ebfp c\u1eadn v\u1edbi v\u0103n b\u1ea3n nghi\u00ean c\u1ee9u khoa h\u1ecdc. C\u00e1c c\u00f4ng c\u1ee5 n\u00e0y s\u1eed d\u1ee5ng c\u00e1c m\u00f4 h\u00ecnh ng\u00f4n ng\u1eef l\u1edbn (LLM) nh\u01b0 ChatGPT \u0111\u1ec3 t\u00f3m t\u1eaft, t\u1ed5 ch\u1ee9c th\u00f4ng tin, v\u00e0 nh\u1ea5n m\u1ea1nh c\u00e1c ph\u1ea7n quan tr\u1ecdng trong c\u00e1c b\u00e0i b\u00e1o khoa h\u1ecdc.<\/p>\n\n\n\n<p>M\u1eb7c d\u00f9 \u0111\u00f3ng g\u00f3p c\u1ee7a AI \u0111\u1ea7y h\u1ee9a h\u1eb9n, nh\u01b0ng c\u00e1c nh\u00e0 nghi\u00ean c\u1ee9u v\u00e0 ng\u01b0\u1eddi d\u00f9ng v\u1eabn g\u1eb7p ph\u1ea3i nhi\u1ec1u th\u00e1ch th\u1ee9c. M\u1ed9t s\u1ed1 c\u00f4ng c\u1ee5 g\u1eb7p kh\u00f3 kh\u0103n trong vi\u1ec7c \u0111\u00e1nh gi\u00e1 v\u00e0 t\u00f3m t\u1eaft ch\u00ednh x\u00e1c, \u0111\u00f4i khi t\u1ea1o ra th\u00f4ng tin sai l\u1ec7ch. H\u01a1n n\u1eefa, h\u1ea1n ch\u1ebf v\u1ec1 quy\u1ec1n truy c\u1eadp v\u00e0o to\u00e0n v\u0103n b\u1ea3n c\u1ee7a c\u00e1c b\u00e0i b\u00e1o l\u00e0 m\u1ed9t v\u1ea5n \u0111\u1ec1 l\u1edbn, khi\u1ebfn cho vi\u1ec7c ph\u00e2n t\u00edch n\u1ed9i dung v\u00e0 k\u1ebft qu\u1ea3 t\u00ecm ki\u1ebfm b\u1ecb h\u1ea1n ch\u1ebf.<\/p>\n\n\n\n<p>C\u00e1c c\u00f4ng ty xu\u1ea5t b\u1ea3n nh\u01b0 Elsevier v\u00e0 Vi\u1ec7n Allen c\u0169ng \u0111ang c\u1ed1 g\u1eafng s\u1eed d\u1ee5ng AI \u0111\u1ec3 t\u1ea1o ra c\u00e1c c\u00f4ng c\u1ee5 h\u1ed7 tr\u1ee3 nghi\u00ean c\u1ee9u, nh\u01b0ng h\u1ecd \u0111ang \u0111\u1ed1i m\u1eb7t v\u1edbi h\u1ea1n ch\u1ebf v\u1ec1 quy\u1ec1n truy c\u1eadp v\u00e0o phi\u00ean b\u1ea3n to\u00e0n v\u0103n c\u1ee7a b\u00e0i b\u00e1o khoa h\u1ecdc. M\u1ed9t s\u1ed1 c\u00f4ng c\u1ee5 ch\u1ec9 s\u1eed t\u00f3m t\u1eaft c\u1ee7a c\u00e1c b\u00e0i b\u00e1o. Vi\u1ec7c khai th\u00e1c d\u1eef li\u1ec7u to\u00e0n v\u0103n s\u1ebd \u0111\u00f2i h\u1ecfi vi\u1ec7c \u0111\u00e0m ph\u00e1n v\u1edbi nhi\u1ec1u nh\u00e0 xu\u1ea5t b\u1ea3n, v\u00e0 vi\u1ec7c chuy\u1ec3n \u0111\u1ed5i \u0111\u1ecbnh d\u1ea1ng v\u0103n b\u1ea3n \u0111\u1ec3 m\u00e1y m\u00f3c c\u00f3 th\u1ec3 hi\u1ec3u \u0111\u01b0\u1ee3c d\u1ec5 d\u00e0ng h\u01a1n c\u0169ng l\u00e0 m\u1ed9t th\u00e1ch th\u1ee9c.<\/p>\n\n\n\n<p>M\u1eb7c d\u00f9 c\u00f3 nh\u1eefng h\u1ea1n ch\u1ebf, nh\u01b0ng c\u00e1c nh\u00e0 khoa h\u1ecdc v\u1eabn \u0111ang n\u1ed7 l\u1ef1c \u0111\u1ec3 ph\u00e1t tri\u1ec3n c\u00e1c m\u00f4 h\u00ecnh AI ph\u1ee9c t\u1ea1p h\u01a1n, gi\u00fap tr\u00edch xu\u1ea5t th\u00f4ng tin phong ph\u00fa t\u1eeb v\u0103n b\u1ea3n nghi\u00ean c\u1ee9u khoa h\u1ecdc. C\u00f4ng vi\u1ec7c n\u00e0y c\u00f3 th\u1ec3 gi\u00fap t\u00ecm ra th\u00f4ng tin h\u1eefu \u00edch cho vi\u1ec7c ph\u00e1t tri\u1ec3n thu\u1ed1c m\u1edbi v\u00e0 c\u1eadp nh\u1eadt \u0111\u00e1nh gi\u00e1 h\u1ec7 th\u1ed1ng li\u00ean t\u1ee5c.<\/p>\n\n\n\n<p>Tuy nhi\u00ean, vi\u1ec7c s\u1eed d\u1ee5ng c\u00e1c c\u00f4ng c\u1ee5 AI hi\u1ec7n nay v\u1eabn c\u1ea7n ph\u1ea3i c\u1ea9n tr\u1ecdng v\u00e0 c\u00f3 s\u1ef1 \u0111\u00e1nh gi\u00e1 kh\u00e1ch quan t\u1eeb ph\u00eda ng\u01b0\u1eddi d\u00f9ng. C\u00e1c LLM v\u1eabn c\u00f2n c\u00f3 nhi\u1ec1u h\u1ea1n ch\u1ebf v\u00e0 c\u00f3 th\u1ec3 cung c\u1ea5p th\u00f4ng tin sai l\u1ec7ch. Do \u0111\u00f3, c\u00e1c nh\u00e0 khoa h\u1ecdc c\u1ea7n ki\u1ec3m tra k\u1ef9 l\u01b0\u1ee1ng k\u1ebft qu\u1ea3 m\u00e0 c\u00e1c c\u00f4ng c\u1ee5 n\u00e0y cung c\u1ea5p.<\/p>\n\n\n\n<p>T\u00f3m l\u1ea1i, d\u00f9 AI h\u1ee9a h\u1eb9n nhi\u1ec1u ti\u1ec1m n\u0103ng, vi\u1ec7c s\u1eed d\u1ee5ng c\u00e1c c\u00f4ng c\u1ee5 n\u00e0y v\u1eabn \u0111ang \u0111\u1ed1i di\u1ec7n v\u1edbi nhi\u1ec1u th\u00e1ch th\u1ee9c, v\u00e0 ng\u01b0\u1eddi d\u00f9ng c\u1ea7n ti\u1ebfp t\u1ee5c gi\u1eef s\u1ef1 c\u1ea3nh gi\u00e1c v\u00e0 \u0111\u00e1nh gi\u00e1 k\u1ef9 l\u01b0\u1ee1ng k\u1ebft qu\u1ea3 m\u00e0 ch\u00fang mang l\u1ea1i.<\/p>\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\"><summary>B\u1ea3n t\u00f3m t\u1eaft ti\u1ebfng Anh<\/summary>\n<p>The article discusses the emergence of artificial intelligence (AI) tools aimed at assisting scientists in navigating and understanding scientific literature. These tools, utilizing large language models (LLMs) like ChatGPT, aid in summarizing, organizing information, and highlighting crucial sections within research papers.<\/p>\n\n\n\n<p>Despite the promising potential of AI, both researchers and users encounter numerous challenges. Some tools struggle with accurately assessing and summarizing content, occasionally generating misleading information. Additionally, limited access to full-text papers poses a significant hurdle, restricting thorough content analysis and search outcomes.<\/p>\n\n\n\n<p>Companies like Elsevier and the Allen Institute are working on AI-powered tools to aid research but grapple with limitations regarding access to complete text content. Some tools rely solely on abstracts due to licensing agreements, while extracting full-text data necessitates negotiations with various publishers and standardizing text formats for machine understanding.<\/p>\n\n\n\n<p>Despite these limitations, researchers persist in developing more advanced AIs capable of extracting richer information from scientific literature. These advanced systems could potentially aid in drug discovery and continuously update systematic reviews.<\/p>\n\n\n\n<p>However, the current use of AI tools requires careful scrutiny and objective evaluation from users. LLMs still possess limitations and may generate inaccuracies, necessitating thorough cross-verification by scientists.<\/p>\n\n\n\n<p>In essence, while AI holds significant promise for aiding scientific research, its current utilization faces challenges. Users must maintain vigilance and rigorously assess the outputs provided by these tools.<\/p>\n<\/details>\n","protected":false},"excerpt":{"rendered":"<p>M\u1eb7c d\u00f9 \u0111\u00f3ng g\u00f3p c\u1ee7a AI \u0111\u1ea7y h\u1ee9a h\u1eb9n, nh\u01b0ng c\u00e1c nh\u00e0 nghi\u00ean c\u1ee9u v\u00e0 ng\u01b0\u1eddi d\u00f9ng v\u1eabn g\u1eb7p ph\u1ea3i nhi\u1ec1u th\u00e1ch th\u1ee9c. M\u1ed9t s\u1ed1 c\u00f4ng c\u1ee5 g\u1eb7p kh\u00f3 kh\u0103n trong vi\u1ec7c \u0111\u00e1nh gi\u00e1 v\u00e0 t\u00f3m t\u1eaft ch\u00ednh x\u00e1c, \u0111\u00f4i khi t\u1ea1o ra th\u00f4ng tin sai l\u1ec7ch.<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[5],"tags":[49,10],"class_list":["post-596","post","type-post","status-publish","format-standard","hentry","category-ai-news","tag-mo-hinh-ngon-ngu-lon-llm","tag-tri-tue-nhan-tao"],"_links":{"self":[{"href":"https:\/\/xuhuongai.com\/index.php?rest_route=\/wp\/v2\/posts\/596","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/xuhuongai.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/xuhuongai.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/xuhuongai.com\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/xuhuongai.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=596"}],"version-history":[{"count":4,"href":"https:\/\/xuhuongai.com\/index.php?rest_route=\/wp\/v2\/posts\/596\/revisions"}],"predecessor-version":[{"id":608,"href":"https:\/\/xuhuongai.com\/index.php?rest_route=\/wp\/v2\/posts\/596\/revisions\/608"}],"wp:attachment":[{"href":"https:\/\/xuhuongai.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=596"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/xuhuongai.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=596"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/xuhuongai.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=596"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}