It is capable of remarkable feats of linguistic appreciation. This seems too good to be true!ĬhatGPT is an amazing prototype of what these systems may turn into. At the same time the team allowed it internet access to develop its ability to understand human speech and intuit – like you or I would – what is meant by a text prompt. The long answer is that the OpenAI team has spent a tremendous amount of time and effort to teach ChatGPT using human reinforcement. The short answer is that it read our documentation, specifically the portions located on our public GitHub repositories. It does make a note to ensure the CLI is installed, however … so … This lays out the complete series of steps to execute this using Jenkins pipeline code and the NeoLoad CLI. It gets much better! What if, since this YAML file meets my needs, I want to include this in a Jenkins pipeline? With a helpful “Copy Code” button at the top of its response, in case I’d like to take and use that code myself. It built a full test scenario designed to navigate to the homepage, search for a product called test product, view the details on that product, add it to the cart, click the proceed to checkout button, fill in the billing information form with sample data, and then click the confirm order button. More than that, it looked at and understood the website. In this scenario ChatGPT read my request, understood that I was interested in creating a performance scenario, took my time and user inputs as well as the website URL, and built a YAML file that I can immediately drop into NeoLoad and execute. For example, if I ask it to write a NeoLoad YAML file to run a ten-user test against, it creates the following output: Enter ChatGPT.ĬhatGPT offers a glimpse of what truly intelligent software looks like. However, many performance engineers have never created or interacted with YAML before. There are a number of features built into NeoLoad that enable support for rapid automation, including creating YAML files. For many performance engineers, this presents an entirely new set of software solutions and scripting languages that they’re not familiar with. Why is it relevant to NeoLoad?Įxcellent question! One of the more common customer engagements that I support in my role here at Tricentis is assisting our customers as they implement NeoLoad into a DevOps toolchain. More specifically, it’s a large language model chatbot developed by OpenAI based on its GPT-3.5 neural network engine architecture. What makes it stand out is that it understands and remembers context, and the responses are easily understood by people regardless of their technological background. What is ChatGPT?ĬhatGPT is a long-form answering AI engine that produces human-readable text in response to questions. While it has some limitations, to many of us it’s the first real glimpse of AI’s capabilities. Hyperbole aside, ChatGPT software intelligence has been a hot news topic of late. It is likely to transform every aspect of what it means to be human and represents an existential opportunity – or potential threat – to everyone living and yet to be born. Artificial Intelligence (AI) is coming, whether we like it or not.
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