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Tag: ChatGPT

Natural Language & Multilingual Image Discovery: How AI Understands Your Searches #ia #image

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…

Continue reading → Natural Language & Multilingual Image Discovery: How AI Understands Your Searches #ia #image

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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…

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

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Streamlit & Ollama: Querying Mistral LLM Locally and Generating Titles & Keywords

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…

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Video #4 Connect FastAPI Backend to Vue.js Frontend: Full Guide

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 #4 Connect FastAPI Backend to Vue.js Frontend: Full Guide

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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 #3 Display API Data using Vuejs & Axios: Step-by-Step Tutorial

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Video #1 Scaffold Your First Vitejs App: Comprehensive Beginner’s Guide

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 #1 Scaffold Your First Vitejs App: Comprehensive Beginner’s Guide

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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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Using #whisper & #fastapi : leveraging on Faster-Whisper for future Multilingual #nlp

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 : leveraging on Faster-Whisper for future Multilingual #nlp

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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…

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

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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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#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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#4 After using ChatGPT a Quick POC to check Plagiarism with Python

This video goes with this post “Using ChatGPT on a daily work as a P.O, Developer or for Q/A or Support and checking plagiarism if…

Continue reading → #4 After using ChatGPT a Quick POC to check Plagiarism with Python

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#3 Using ChatGPT to generate simple PHP WordPress Plugin code to extend Dashboard WP features

This video goes with this post “Using ChatGPT on a daily work as a P.O, Developer or for Q/A or Support and checking plagiarism if…

Continue reading → #3 Using ChatGPT to generate simple PHP WordPress Plugin code to extend Dashboard WP features

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#2 Using ChatGPT for coding Generate Python code with comments using Beautiful Soup & SQL command for SQLite

This video goes with this post “Using ChatGPT on a daily work as a P.O, Developer or for Q/A or Support and checking plagiarism if…

Continue reading → #2 Using ChatGPT for coding Generate Python code with comments using Beautiful Soup & SQL command for SQLite

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#1 Using ChatGPT for P.O: Generate Jira tickets for user stories & some Q/A testing scripts (Cypress)

This video goes with this post “Using ChatGPT on a daily work as a P.O, Developer or for Q/A or Support and checking plagiarism if…

Continue reading → #1 Using ChatGPT for P.O: Generate Jira tickets for user stories & some Q/A testing scripts (Cypress)

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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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