• 199 €

GPT-3 : A Full Guide - Technical Part

With this course on GPT-3, you will discover the future of digital content composition. Using an incredible AI capable of performing writing tasks with breathtaking accuracy, will not only save you time but will also compete at the same technical level as Google. This is the second part which will be more technical by approaching the Python language for example.

Using a natural language AI to revolutionize your website copywriting pipeline

If you have managed a website before, you have probably been confronted with redundant copywriting tasks:
  • Creating relevant meta descriptions
  • Categorizing your pages 
  • Reworking the product pages
  • Choosing the best text to get the maximum number of clicks
  • Optimizing the website's internal linking

Let's be honest: no matter how rigorous your keyword analysis is, there are still some decisions that you have to make based on feeling and experience. Are you spending your time bringing your expertise to the table, or on redundant copywriting tasks? If I told you that there was a solution used by Google to help you on each of these redundant tasks, how much time would you save? 3 hours? 10hrs? 50hrs per week?

With my courses on GPT-3 and BERT, you will discover the future of online copywriting with these AIs, which have become both accessible and relevant to use in SEO contexts.

If you are looking for a course that is much more functional than technical, I invite you to register on Part 1: https://www.datamarketinglabs.com/full-guide-gpt-3

Marketing, SEO & Data Science

Restez informé des offres spéciales, des nouveaux cours et des nouveautés.

You're signing up to receive emails from DATA MARKETING LABS

Exporting and Using a model

Introduction to the Module
Aperçu
Jupyter Notebook
Optional : Run Jupyter Notebook with Seekwell
Optional : Run Jupyter Notebook with Google Cloud
NLP with PEGASUS, GPT-Neo and GPT-3
Google Colab - Abstractive Text Summarization
Google Colab - Text Generation + benchmark
Google Colab - Train GPT-Neo
Google Colab - Using GPT-Neo
Solution benchmark
Fingerprinting and measuring the quality of produced texts
How to go live with your application
OpenAI : Use Case Guidelines
Safety Best Practices - OpenAI API.pdf
Exporting and Using a model: Quiz
Ressources
Bonus : Test GPT-Neo with JS UI
Bonus : Test GPT-J with JS UI

Creating a Web App

Introduction to the Module
Aperçu
How Gradio App Works
Defining Input and Output Components
Using Advanced Components
Google Colab - Gradio App with GPT-3
Deploying Your Live App
An Intro to Git and GitHub
Optional : Deploying your app in production with AWS
Going Even Further ?
Google Colab - Image Animation
Google Colab - Using DALL-E
Creating a Web App: Quiz

Marketing, SEO & Data Science

Restez informé des offres spéciales, des nouveaux cours et des nouveautés.

You're signing up to receive emails from DATA MARKETING LABS

Who is this course for?

This course is designed for digital marketing and e-commerce professionals who wish to understand and include content generation using new technologies in their workflow.

Important: the following prerequisite is mandatory: you must know some basics about a programming language.

  • SEO / SEA Experts
  • Traffic managers
  • Digital marketers
  • Developper
  • Data scientist
  • Product managers
  • Project managers
  • Digital analysts
  • Data analysts
  • Web analysts
  • Business developers