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Image: DALL-E
Artificial intelligence (AI) is revolutionizing how we work and play in exciting ways. At first glance, AI tools, such as ChatGPT, seem to provide all the correct answers. But once we delve deeper and implement the suggestions, it often isn’t as effortless as it appears. This is especially true when generating code.
In this blog, we wanted to put ChatGPT to the test and see how it fares with developing Ansible Playbooks and share our results. We’ll also cover the experience and feedback from developers across domains.
We’ll also provide more information on our upcoming automation AI superpower, Project Wisdom.
First, let’s briefly discuss what ChatGPT is and how it works.
What is ChatGPT?
“We’ve trained a model called ChatGPT which interacts in a conversational way. The dialogue format makes it possible for ChatGPT to answer followup questions, admit its mistakes, challenge incorrect premises, and reject inappropriate requests.”
OpenAI ChatGPT release announcement
ChatGPT is a chatbot developed by OpenAI and built on top of their GPT (Generative Pre-trained Transformer) 3.5 large language model.
Large language models (LLM) are trained on massive amounts of data to predict the next word in a sentence. GPT 3. Continue reading