In recent months, a single topic has captured the attention of the tech and business communities: Artificial Intelligence (AI). Innovative applications like ChatGPT, among others, have showcased the transformative potential that AI holds. Here at CLIQ, it is important to us to always be in tune with the times and to be open and interested in new technical developments in order to be able to use and exploit new potential with care. These applications aren’t just futuristic concepts; they are tangible demonstrations of what can AI already be achieved with AI. In this series, we don’t just want to ride the wave of excitement. We want to cut through the hype and explain what Artificial Intelligence is and how it can profoundly reshape the landscape of the business world.
Diving into the basics, Artificial Intelligence, often interchangeably referred to as machine learning (ML), is a specialised field of study dedicated to enabling computer systems to execute tasks that traditionally require human intellect. This concept isn’t entirely new. In fact, it has held its ground as a scientific discipline since the 1950s which, over the decades, has made considerable advancements. Yet, the question remains: What triggered the recent media-frenzy and widespread fascination with AI? The catalyst behind this renewed interest is a subfield known as generative AI.
Generative AI distinguishes itself from other AI subsets through a unique capability: its emphasis on enabling AI systems to craft entirely new data. While most “traditional” AI systems are engineered to classify, analyse, or make predictions based on the data they’ve been trained on, generative AI ventures into the realm of innovation. These systems possess the ability to generate entirely novel content. They can generate text, images, videos, music, and other multimedia forms.
The recent increase in AI-powered applications is largely enabled by advances in the field of large language models (LLMs). LLMs are AI models that are designed to interpret, understand, and generate human language, which allows applications like ChatGPT to understand user requests and answer in a way that is helpful. LLMs are trained on large amounts of text, mainly taken from the internet. From this training data, they learn patterns and internalise them by adjusting themselves to match the way humans would communicate more closely in their output. When fed with text-based input, an LLM performs intricate, mathematical calculations to predict the text that would most likely follow, given the context.
The recent uptick in innovations and media attention, however, is not due to technology alone. They are also enabled by considerable improvements in hardware and data collection. Better and faster computers, as well as the availability of more and more data, have allowed AI companies to build larger, more powerful AI models.
We hope this article could give you a good overview of how the recent hype about AI developed and what is behind the applications that are making waves in the business world. If you are interested in AI, watch out for part 2 of this series, where we talk about how AI is currently used and how it can help employees be more productive.