GPT-3 : A Full Guide with Vincent Terrasi
Updated 06/2021
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 25 lectures (1h 55m) | Size: 1.55 GB
With this course on GPT-3, you will discover the future of digital content composition
What you'll learn
Learn using AI to write proven, high converting copy for increased conversions and higher ROI.
Change drastically your career path or complete your education with text generation.
Communicate better with developers about your AI projects.
Requirements
Having a basic knowledge of any programming language concepts like what is a loop, what if and else does, how operators are used
Description
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?
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. 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.
Here's a quick recap for both parts of what you'll have access to, along with links to the public web pages that provide more information
- 28 instructional videos.
- 6 documented and ready to use Google Colab.
- A proven method to create Machine Learning apps with ease.
- 3 ways to automatically launch Jupyter Notebooks.
- 3 alternatives to GPT-3 for text generation, text summarization, and image generation.
Who this course is for
SEO / SEA Experts
Traffic managers
Digital marketers
Developpers
Data scientist
Product managers
Project managers
Digital analysts
Data analysts
Web analysts
Business developers
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