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About Luca Berton

Luca Berton is an Ansible automation expert, author of 8 Ansible books published by Apress and Leanpub including "Ansible for VMware by Examples" and "Ansible for Kubernetes by Example", and creator of the Ansible Pilot YouTube channel. He shares practical automation knowledge through tutorials, books, and video courses to help IT professionals and DevOps engineers master infrastructure automation.

Revolutionising Ansible: Testing the Limits of OpenAI’s ChatGPT for Smarter Automation — Video Tutorial

Exploring the Power of OpenAI’s ChatGPT in Revolutionizing Ansible Coding: Advancing Automation to the Next Level

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OpenAI ChatGPT ChatGPT is a revolutionary artificial intelligence in that we can interact in a conversational way. Version 3 was launched in November 2022, and ChatGPT in March 2023. Its closest competitor is Google Bard. Links - [Introducing ChatGPT](https://openai.com/blog/chatgpt) - [GPT-4 is OpenAI’s most advanced system, producing safer and more useful responses](https://openai.com/product/gpt-4) Four Challenges I decided to judge the quality of the AI using the following four challenges: 1. How to Pass Variables to Ansible Playbook in the command line? - Ansible extra variables 2. Configure a Windows Host for Ansible - Ansible winrm 3. Using Date, Time, and Timestamp in Ansible Playbook - Ansible Tip and Tricks 4. Change user password - Ansible module user Challenge 1 - How to Pass Variables to Ansible Playbook in the command line? - Ansible extra variables ![Challenge 1](/articles/openai_chatgpt_q1.jpg) Score: Good Challenge 2 - Configure a Windows Host for Ansible - Ansible winrm ![Challenge 2](/articles/openai_chatgpt_q2.jpg) Score: Bad Challenge 3 - Using Date, Time, and Timestamp in Ansible Playbook - Ansible Tip and Tricks ![Challenge 3](/articles/openai_chatgpt_q3.jpg) Score: Good Challenge 4 - Change user password - Ansible module user ![Challenge 4](/articles/openai_chatgpt_q4.jpg) Score: Good Conclusion ChatGPT is a great companion that speeds up prototyping and boosts our productivity. I'm impressed by the quality of the result. They appear good-looking and well-organized. However, at the moment, the outcome requires some manual rework before being able actually to use in our laboratory. The challenges saw that it is excellent for minor problems but lacks for those requiring more context interpretation. Related Articles - [the Ansible Windows reference](/articles/ansible-windows-management-complete-guide)

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