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Tag: Learning-by-doing

Sustainable AI: Tracking Carbon Footprints of Mistral Models with Ollama & 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…

Continue reading → Sustainable AI: Tracking Carbon Footprints of Mistral Models with Ollama & CodeCarbon

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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…

Continue reading → How to Measure the Carbon Footprint of Your Local Mistral-Poet LLM Running on Ollama with CodeCarbon

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Evaluating AI-Generated Text: Semantic Similarity with Sentence Embeddings

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…

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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 #6 Streamlit Mastery: View Whisper Transcripts & Prevent Page Reloads

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Video #2 Master Vuejs: Build Your First App and Project with Ease

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

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Video #2 Using LLM in Ollama or LM Studio: Discover LLMs (Mistral) potential help through LM Studio for daily tasks in a safe and confidential way

This video is part of a post “Empower Your Workflow: Harnessing the Power of LM Studio and Ollama for Seamless Local LLM Execution” POST: https://wp.me/p3Vuhl-3iX…

Continue reading → Video #2 Using LLM in Ollama or LM Studio: Discover LLMs (Mistral) potential help through LM Studio for daily tasks in a safe and confidential way

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Video #1 Using LLM in Ollama or LM Studio: Discover LLMs potential (orca-mini) help through Ollama for daily tasks in a safe and confidential way

This video is part of a post “Empower Your Workflow: Harnessing the Power of LM Studio and Ollama for Seamless Local LLM Execution” POST: https://wp.me/p3Vuhl-3iX…

Continue reading → Video #1 Using LLM in Ollama or LM Studio: Discover LLMs potential (orca-mini) help through Ollama for daily tasks in a safe and confidential way

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#3 IA Text Translation : Usecase with FastAPI and Roberta (xlm-roberta-base, xlm-roberta-large) for Masked language modeling

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…

Continue reading → #3 IA Text Translation : Usecase with FastAPI and Roberta (xlm-roberta-base, xlm-roberta-large) for Masked language modeling

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#2 IA Text Translation : Revolutionize Translation Apps with Gradio: A Quick Guide to Building and Sharing Your Own Apps!

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…

Continue reading → #2 IA Text Translation : Revolutionize Translation Apps with Gradio: A Quick Guide to Building and Sharing Your Own Apps!

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#1 IA Text Translation : Unlocking Multilingual Text Translation with NLLB, HuggingFace, and FastAPI and leverage on LangDetect Python Package

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…

Continue reading → #1 IA Text Translation : Unlocking Multilingual Text Translation with NLLB, HuggingFace, and FastAPI and leverage on LangDetect Python Package

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Using #whisper & #fastapi: Unlocking Multilingual Transcription with #whisper

This video is part of a post “Unlocking Speech-to-Text: Harnessing the Power of the OpenAI Whisper API with FastAPI Integration.” This file “011_faster_whisper.py” enables quick…

Continue reading → Using #whisper & #fastapi: Unlocking Multilingual Transcription with #whisper

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Using #whisper & #fastapi : Creating a #multilingual Audio #api with #whisper

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

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#1 POC with #fastapi for an #nlp #api with #spacy #sqlalchemy #sqlite and… #streamlit

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…

Continue reading → #1 POC with #fastapi for an #nlp #api with #spacy #sqlalchemy #sqlite and… #streamlit

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#3 POC with #fastapi and #docker using an ORM like #sqlalchemy for a #mysql #database

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…

Continue reading → #3 POC with #fastapi and #docker using an ORM like #sqlalchemy for a #mysql #database

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#1 How to expose NLP Machine Learning Models for Spacy by quickly building an API with FastAPI

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…

Continue reading → #1 How to expose NLP Machine Learning Models for Spacy by quickly building an API with FastAPI

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#3 How-to create an API with FastAPI and start testing it with pytest

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…

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#1 Machine Learning for NLP: Labeling process to train a “custom” NER for Spacy with Label Studio

This video is part of the post “The importance of the Labeling process or annotating inside an ML pipeline plus an example on how-to train…

Continue reading → #1 Machine Learning for NLP: Labeling process to train a “custom” NER for Spacy with Label Studio

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#2 Machine Learning for NLP: Export & convert data from Label Studio to Spacy training format to create a custom NER

This video is part of the post “The importance of the Labeling process or annotating inside an ML pipeline plus an example on how-to train…

Continue reading → #2 Machine Learning for NLP: Export & convert data from Label Studio to Spacy training format to create a custom NER

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#3 Machine Learning for NLP: Work with a dataset in Label Studio for a Pytorch Sentiment Analysis

This video is part of the post “The importance of the Labeling process or annotating inside an ML pipeline plus an example on how-to train…

Continue reading → #3 Machine Learning for NLP: Work with a dataset in Label Studio for a Pytorch Sentiment Analysis

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#4 Machine Learning for NLP: Running & Connecting a ML Backend to Label Studio for a Pytorch Sentiment Analysis

This video is part of the post “The importance of the Labeling process or annotating inside an ML pipeline plus an example on how-to train…

Continue reading → #4 Machine Learning for NLP: Running & Connecting a ML Backend to Label Studio for a Pytorch Sentiment Analysis

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Posts pagination

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Good pick ?

Recent inventory

  • AI Implementation Challenges: Strategic Considerations for Prompt Management, Data Integration, and Organizational Knowledge Sharing
  • Maximizing Claude AI: Desktop App, MCP, Agents & Presentation Generation Guide
  • The ‘Green’ AI Myth: Carbon Costs of ML Models & Insights on GEO and DeepSeek Fine-tuning
  • Breadcrumbs of Innovation: A Snapshot of AI Explorations
  • Content Quality: How Sentence Embeddings Can Save AI-Generated Content and some other concerns on AI: Environmental Impact, Job Loss

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