Using Semantic Similarity with a CMS #ia #nlp #cms #api #python

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.

Full Details:
You 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
https://wp.me/p3Vuhl-3mP

The code is available on my github account:
https://shorturl.at/y5HNV

Dive Deeper:
You can listen to the 2 “podcasts” extracted from this Blog Post Audio made with NotebookLM on this post:
https://on.soundcloud.com/KYsxEU7Zh1qdDLGo8
https://on.soundcloud.com/THjokmLiH8q194Gr9

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