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Azure OpenAI with OCR Vision: Use GPT-4 Turbo with Vision on Your Data



Using Azure OpenAI On Your Data: Includes Vision OCR capability!

This video will help you to create an Azure OpenAI Chatbot with BYOD and OCR capability.
There are many reasons to add an OpenAI GPT application to your business or personal website.
Large Language Models like ChatGPT help us to create new applications that were previously too difficult to build. For this reason, many businesses are now leveraging AI chatbots to streamline customer interactions, automate manual tasks, help make decisions, and so on.
Imagine, serving a large number of customers efficiently without compromising quality.
In addition, there are hundreds of uses of GPT4 for your personal life, such as learning a new language or improving your health.

In addition, using a GPT model on your data tailors the application to your business needs.

Unlocking powerful insights hidden/contained in your data
Improving decision-making based on your data
Enhancing productivity across your organization with your data
Providing a powerful conversational AI platform for faster and more accurate communication based on your data

In this project-based beginners tutorial, you’ll learn how to construct your very own customized OpenAI application using OpenAI GPT-4o with the “bring your own data” option. Using this bring your own data option allows the GPT4 model to include the information in your database, along with extracting text from images, when constructing the answers to customers questions.
This tutorial covers everything from setting up the environment to handling user input and integrating the AI model into an application.
The chatbots that you will build, can possess powerful conversational abilities. They can answer questions, generate content, correct language, suggest edits, translate, and even write code upon request.

Prerequisites include basic knowledge of Python and Conda, and an Azure account.
To learn more on python and conda basics, view our video on Python, Conda and Jupyterlab, link in the description below.

Azure CLI Installation Link: https://aka.ms/azure-dev
Repo: https://github.com/TechExpertTutorials/OpenAIChatWithVision

Related Videos:
Python, Conda and VSCode Video: https://youtu.be/lGRwEcCHNtA
Python Flask Application: https://youtu.be/ezjHBAmoRIc
OpenAI Chat without AI Vision Tutorial: https://youtu.be/cIVt9f0FoMM

OCR related Videos:
Pytesseract OCR Video: https://youtu.be/UBpFPBVlINw
Python, Conda and VSCode Video: https://youtu.be/lGRwEcCHNtA
Azure OCR Video: https://youtu.be/67mudgk74hs
GCP OCR Video: https://youtu.be/hkKKfEqZvn4
OpenAI OCR Video: https://youtu.be/wlIFVfIYrPM
Gemini AI OCR Video: https://youtu.be/r2YGuPDECaE
AWS OCR Video: https://youtu.be/6h7fZ6brhsY

Other Related Videos/Playlists:
Google Cloud Vision API (Part 1): OCR Text Extraction Tutorial – https://youtu.be/q8QRd4CUuvs
Google Cloud Vision API (Part 2): Object Detection Tutorial – https://youtu.be/i2yFD8PsMvQ
Google Cloud Vision API (Part 3): Landmark Detection Tutorial – https://youtu.be/FZsdFvJLoa0
Google Cloud Vision API (Part 4): Facial Detection Tutorial – https://youtu.be/sZ4dP6JJhio
Google Cloud Vision API (Part 5): Label Detection Tutorial – https://youtu.be/s5doqd2VOds
Google Cloud Vision API Playlist – https://www.youtube.com/playlist?list=PLkTmsEazx3GVcEtCSLauTw4x4NgTSEGqM

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How To Solve It With Code – fast.ai

How To Solve It With Code – fast.ai