In this topic, we will go through the step by step guide how to build an AI application using PHP and large language models. We will understand how your bot can respond like ChatGPT and manage your private data without training or extensive expertise in Data Science. We will also review existing libraries and how these approaches can be utilized in your applications.

In this talk, we will raise several important topics: - Is code really such an important business asset? And if not, why are developers still getting paid. - How exactly Node.js developers can increase their efficiency using "stupid" AI based on GPT-4 to perform their tasks. And we have to go beyond "Write the documentation on this code". - Who are the Prompt Engineers, and why can you be fired in a year because of them?

<p>State and opportunities of modern AI services by example of ChatGPT and how to use it to create a customer support assistant for E-Commerce project.</p>

Do machines hallucinate insecure code? In the blink of an eye we jumped on the AI bandwagon and pivoted from AI skepticism to AI adoption, but what did we trade off exactly? Writing secure code is tougher than it seems and we humans are getting it wrong time and time again. Even highly popular open-source software projects are repeatedly found vulnerable. So how does ChatGPT or GitHub Copilot live up to standards of secure software? developers have already embraced AI for augmented software development but let's challenge those AI tools you've come to rely on day-to-day and see how capable they are in producing secure software.

We’ll code dive on one of our products to learn how we added AI to it.