{"id":12967,"date":"2025-01-26T07:29:08","date_gmt":"2025-01-26T06:29:08","guid":{"rendered":"https:\/\/flaven.fr\/?post_type=bf_videos_manager&p=12967"},"modified":"2025-01-26T07:54:56","modified_gmt":"2025-01-26T06:54:56","slug":"using-semantic-similarity-with-a-cms-ia-nlp-cms-api-python","status":"publish","type":"bf_videos_manager","link":"https:\/\/flaven.fr\/videos\/using-semantic-similarity-with-a-cms-ia-nlp-cms-api-python\/","title":{"rendered":"Using Semantic Similarity with a CMS #ia #nlp #cms #api #python"},"content":{"rendered":"

In this video, the underlying user story for this code is straightforward: to establish a semantic match between all existing keywords in a CMS (such as WordPress, Drupal, or a custom-built CMS) and a list of AI-generated keywords using prompts (e.g., with Claude, Mistral, or ChatGPT). The goal is to generate a refined list of existing keywords based on the AI’s suggestions for the editorial team.<\/p>\n

Full Details:<\/b>
\nYou can read the article on my blog: Content Quality: How Sentence Embeddings Can Save AI-Generated Content and some other concerns on AI: Environmental Impact, Job Loss
\nhttps:\/\/wp.me\/p3Vuhl-3mP<\/a><\/p>\n

The code is available on my github account:<\/b>
\nhttps:\/\/shorturl.at\/y5HNV<\/a><\/p>\n

\ufe0fDive Deeper:<\/b>
\nYou can listen to the 2 “podcasts” extracted from this Blog Post Audio made with NotebookLM on this post:
\nhttps:\/\/on.soundcloud.com\/KYsxEU7Zh1qdDLGo8<\/a>
\nhttps:\/\/on.soundcloud.com\/THjokmLiH8q194Gr9<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

In this video, the underlying user story for this code is straightforward: to establish a semantic match between all existing keywords in a CMS (such… <\/p>\n

Continue reading → Using Semantic Similarity with a CMS #ia #nlp #cms #api #python<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":12185,"comment_status":"open","ping_status":"closed","template":"","bf_videos_manager_tag":[2668,3244,2685,2797,2719,3187,2986,2686,2787],"bf_videos_manager_cat":[3091,2681,2767,2678,2679,2680],"class_list":["post-12967","bf_videos_manager","type-bf_videos_manager","status-publish","has-post-thumbnail","hentry","bf_videos_manager_tag-ai","bf_videos_manager_tag-ai-generated","bf_videos_manager_tag-anaconda","bf_videos_manager_tag-artificial-intelligence","bf_videos_manager_tag-automation","bf_videos_manager_tag-backend","bf_videos_manager_tag-chatgpt","bf_videos_manager_tag-cms","bf_videos_manager_tag-coding","bf_videos_manager_cat-ai","bf_videos_manager_cat-development","bf_videos_manager_cat-news","bf_videos_manager_cat-python","bf_videos_manager_cat-tutorials","bf_videos_manager_cat-videos"],"jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/flaven.fr\/happy-api\/wp\/v2\/bf_videos_manager\/12967","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/flaven.fr\/happy-api\/wp\/v2\/bf_videos_manager"}],"about":[{"href":"https:\/\/flaven.fr\/happy-api\/wp\/v2\/types\/bf_videos_manager"}],"author":[{"embeddable":true,"href":"https:\/\/flaven.fr\/happy-api\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/flaven.fr\/happy-api\/wp\/v2\/comments?post=12967"}],"version-history":[{"count":2,"href":"https:\/\/flaven.fr\/happy-api\/wp\/v2\/bf_videos_manager\/12967\/revisions"}],"predecessor-version":[{"id":12988,"href":"https:\/\/flaven.fr\/happy-api\/wp\/v2\/bf_videos_manager\/12967\/revisions\/12988"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/flaven.fr\/happy-api\/wp\/v2\/media\/12185"}],"wp:attachment":[{"href":"https:\/\/flaven.fr\/happy-api\/wp\/v2\/media?parent=12967"}],"wp:term":[{"taxonomy":"bf_videos_manager_tag","embeddable":true,"href":"https:\/\/flaven.fr\/happy-api\/wp\/v2\/bf_videos_manager_tag?post=12967"},{"taxonomy":"bf_videos_manager_cat","embeddable":true,"href":"https:\/\/flaven.fr\/happy-api\/wp\/v2\/bf_videos_manager_cat?post=12967"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}