{"id":714,"date":"2023-09-23T12:52:50","date_gmt":"2023-09-23T12:52:50","guid":{"rendered":"https:\/\/todaysainews.com\/index.php\/2023\/09\/23\/using-gpt-4-for-content-moderation\/"},"modified":"2025-04-27T07:32:48","modified_gmt":"2025-04-27T07:32:48","slug":"using-gpt-4-for-content-moderation","status":"publish","type":"post","link":"https:\/\/todaysainews.com\/index.php\/2023\/09\/23\/using-gpt-4-for-content-moderation\/","title":{"rendered":"Using GPT-4 for content moderation"},"content":{"rendered":"<p> [ad_1]<br \/>\n<\/p>\n<div>\n<div>\n<p>We&#8217;re exploring the use of LLMs to address these challenges. Our large language models like GPT-4 can understand and generate natural language, making them applicable to content moderation. The models can make moderation judgments based on policy guidelines provided to them.<\/p>\n<p>With this system, the process of developing and customizing content policies is trimmed down from months to hours.\u00a0<\/p>\n<ol>\n<li>Once a policy guideline is written, policy experts can create a golden set of data by identifying a small number of examples and assigning them labels according to the policy.\u00a0\u00a0<\/li>\n<li>Then, GPT-4 reads the policy and assigns labels to the same dataset, without seeing the answers.\u00a0<\/li>\n<li>By examining the discrepancies between GPT-4\u2019s judgments and those of a human, the policy experts can ask GPT-4 to come up with reasoning behind its labels, analyze the ambiguity in policy definitions, resolve confusion and provide further clarification in the policy accordingly. We can repeat steps 2 and 3 until we are satisfied with the policy quality.<\/li>\n<\/ol>\n<p>This iterative process yields refined content policies that are translated into classifiers, enabling the deployment of the policy and content moderation at scale.<\/p>\n<p>Optionally, to handle large amounts of data at scale, we can use GPT-4&#8217;s predictions to fine-tune a much smaller model.<br class=\"softbreak\"\/><\/p>\n<\/div>\n<\/div>\n<p>[ad_2]<br \/>\n<br \/><a href=\"https:\/\/openai.com\/blog\/using-gpt-4-for-content-moderation\">Source link <\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>[ad_1] We&#8217;re exploring the use of LLMs to address these challenges. Our large language models like GPT-4 can<\/p>\n","protected":false},"author":2,"featured_media":715,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[19],"tags":[],"class_list":["post-714","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-openai"],"_links":{"self":[{"href":"https:\/\/todaysainews.com\/index.php\/wp-json\/wp\/v2\/posts\/714","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/todaysainews.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/todaysainews.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/todaysainews.com\/index.php\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/todaysainews.com\/index.php\/wp-json\/wp\/v2\/comments?post=714"}],"version-history":[{"count":1,"href":"https:\/\/todaysainews.com\/index.php\/wp-json\/wp\/v2\/posts\/714\/revisions"}],"predecessor-version":[{"id":2717,"href":"https:\/\/todaysainews.com\/index.php\/wp-json\/wp\/v2\/posts\/714\/revisions\/2717"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/todaysainews.com\/index.php\/wp-json\/wp\/v2\/media\/715"}],"wp:attachment":[{"href":"https:\/\/todaysainews.com\/index.php\/wp-json\/wp\/v2\/media?parent=714"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/todaysainews.com\/index.php\/wp-json\/wp\/v2\/categories?post=714"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/todaysainews.com\/index.php\/wp-json\/wp\/v2\/tags?post=714"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}