WebMCP: The Next Layer of Your WordPress Strategy This video introduces WebMCP — a concept and WordPress plugin that exposes your site’s structured content as…
Continue reading → WebMCP Explained: Turn Your WordPress Site into Tools for AI Agents
Part 2 of 2 | AI-Powered WordPress Taxonomy Migration Continuing from Part 1 — Step 3 (Wikidata enrichment) has finished processing 100 WordPress tags. Now…
Continue reading → WordPress Taxonomy Pipeline Pt.2: Wikidata + Breadcrumb JSON & WP Plugin Demo
Part 1 of 2 | AI-Powered WordPress Taxonomy Migration In this video I walk through the first half of a 4-step Python pipeline that semantically…
Continue reading → WordPress Taxonomy Pipeline Pt.1: Fetch Tags + spaCy NER in Python & Docker
In this video, I extend the RAG project into a concrete product: a semantic search engine integrated into WordPress via a custom plugin, fully built…
Continue reading → WordPress Semantic Search with RAG: Turning Research into a Plugin
This video series explores explore the environmental impact of artificial intelligence and challenge the narrative that AI is inherently sustainable. I break down the real…
How to Measure the Carbon Footprint of Your Local Mistral-Poet LLM Running on Ollama with CodeCarbon
This video series explores explore the environmental impact of artificial intelligence and challenge the narrative that AI is inherently sustainable. I break down the real…
This video series explores explore the environmental impact of artificial intelligence and challenge the narrative that AI is inherently sustainable. I break down the real…
Continue reading → Measuring AI’s Carbon Footprint and Impact with CodeCarbon & Eco2AI
This video series explores the creation of an AI-powered image search application using Streamlit, open_clip, and faiss. The application enables users to search for images…
This video covers advanced techniques for analyzing subtitle files using machine learning models. We explore a Streamlit application that uses the spaCy library to load…
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…
Continue reading → Using Semantic Similarity with a CMS #ia #nlp #cms #api #python
In this video, we demonstrate how to use Streamlit to query the Mistral LLM locally with the help of Ollama. We’ll show you how to…
Continue reading → Evaluating AI-Generated Text: Semantic Similarity with Sentence Embeddings
In this video, we delve into the challenge of evaluating the quality of AI-generated text, focusing on how to ensure it is accurate and avoids…
Continue reading → Streamlit & Ollama: Querying Mistral LLM Locally and Generating Titles & Keywords