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 dive into the practical implementation of AI in journalism and content management, focusing on Semaphore—a custom WordPress plugin I developed. This…
In this video, we dive into the challenges and opportunities of using Whisper, OpenAI’s speech recognition model, to transcribe low-resource languages—specifically African languages like Fulfulde,…
Continue reading → From French to Fulfulde: How Well Does Whisper Handle Low-Resource Languages?
In this video, we dive into mistral-ocr —a powerful tool for extracting structured text from PDFs and images. This is part of my ongoing work…
Continue reading → Quick Discovering mistral-ocr, Quick & Simple
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 covers advanced techniques for analyzing subtitle files using machine learning models. We explore a Streamlit application that uses the spaCy library to load…
An article exploring the process for testing the output of Large Language Models (LLMs) using a tool called “promptfoo.” This tool allows developers to evaluate…
Continue reading → Promptfoo: The Ultimate Tool for Ensuring LLM Quality and Reliability (Part 2)
This video is part of a post “Building a Vue.js SPA (Single Page Application) Frontend with FastAPI Backend for AI Integration” QUICK DESCRIPTION Transitioning from…
Continue reading → Video #6 Streamlit Mastery: View Whisper Transcripts & Prevent Page Reloads
This video is part of a post “Building a Vue.js SPA (Single Page Application) Frontend with FastAPI Backend for AI Integration” QUICK DESCRIPTION Transitioning from…
Continue reading → Video #3 Display API Data using Vuejs & Axios: Step-by-Step Tutorial
This video is part of a post “Building a Vue.js SPA (Single Page Application) Frontend with FastAPI Backend for AI Integration” QUICK DESCRIPTION Transitioning from…
Continue reading → Video #2 Master Vuejs: Build Your First App and Project with Ease
This video is part of a post “Crafting Fluent Translation API: A quick Journey into Text Translation with NLLB, HuggingFace, and FastAPI, Plus a small…
This video is part of a post “Crafting Fluent Translation API: A quick Journey into Text Translation with NLLB, HuggingFace, and FastAPI, Plus a small…
This video is part of a post “Crafting Fluent Translation API: A quick Journey into Text Translation with NLLB, HuggingFace, and FastAPI, Plus a small…
This video is part of a post “Unlocking Speech-to-Text: Harnessing the Power of the OpenAI Whisper API with FastAPI Integration.” This file “009_openai_whisper_fastapi.py” is POC…
Continue reading → Using #whisper & #fastapi : Creating a #multilingual Audio #api with #whisper
A simple combination with Streamlit, FastAPI and Spacy to expose “features” like: NER (entities), Summary (summary), Tags extraction (keywords) for text in French, Spanish, English…
POC from 008_fastapi_mysql_restapi: Using Docker to create a MYSQL database and a PhpMyAdmin instance connected to FastAPI POC. This video is part of the post…
I already mention this POC. The files are a mix between logical code written by ChatGPT (I have given the prompt in the main.py) and…
I only grab the API and the test (pytest) from this project. In reality, it is a bit more extended project, made by Microsoft’s people…
Continue reading → #3 How-to create an API with FastAPI and start testing it with pytest