Eager to infuse your JavaScript app with state-of-the-art AI? This comprehensive tutorial will show you how to embed ChatGPT, the titan of large language models, into your JavaScript code. Get ready to revolutionize your app's interactivity with natural language processing capabilities.

According to UBS, ChatGPT was the fastest growing consumer application in history. In just two months it went from launch to 100 million monthly active users. That led to a cultural and technological impact that saw Microsoft invest billions in the product’s parent company. But even if your product doesn’t break records, knowing the number of active users can help you understand its product/market fit, the impact of the changes you make, and how well the product retains user loyalty.

This years I/O can be easily summed up by just one phrase: “AI”. AI absolutely everywhere. Sundar Pichai started, mentioned numerous times and ended the Keynote by mentioning AI. Some of the main announcements around AI for developers included the general availablity of “Bard” supporting 20 programming languages and use of the “PaLM 2” based models with some like “Gecko” small enough to run on mobile devices.

The GPT euphoria got doused with some reality recently as Samsung employees realized they were sending false information to customers and Italy outright banned ChatGPT. The hype and concerns further accelerated last week with the godfather of AI, Hinton, resigning from Google, President Biden summoning AI leaders to Washington, and several stocks nose-diving on the threats generative AI poses to their business models.

There has been much hype in the media surrounding language models like ChatGPT because they have the potential to revolutionize our interactions with computers and enable the automation of various tasks. ChatGPT is a natural language processing (NLP) platform driven by Artificial Intelligence (AI). It is trained on a large text dataset and can induce text based on input. ChatGPT can be used for a variety of tasks, similar as language restatement, text summarization, content generation, and more.

There’s no doubt that artificial intelligence has transformed the business world and that more changes are yet to come. In December 2022, the US government issued a report showing that nearly all industries have adopted AI in some fashion to improve their workflows.

Software testers, or SDETs, have several responsibilities in today's QA-driven software industry. In addition to collaborating with developers to plan and execute tests, they are often responsible for setting up and maintaining continuous integration (CI) processes, analyzing test results, and generating reports for stakeholders. In this article, you'll learn about the evolution of the SDET role and how automation and artificial intelligence (AI) can help improve efficiency.

ChatGPT’s power is astounding and even more importantly, it is growing incredibly fast. Almost every BI and analytics vendor has initiatives in this area, and while several have implemented integrations, applications are still primarily experimental. The promise is huge, but of course, there are plenty of skeptics with valid reasons. This blog highlights areas where ChatGPT can help business intelligence initiatives, and discusses areas where there may be a bit more hype than reality, for now.