Standing at the forefront of innovative AI advancements, generative AI is currently among the most popular, exciting and intriguing fields of AI technologies. In simple terms, generative AI models are trained using extremely large datasets, using t different learning techniques and algorithms to uncover underlying patterns and structures of the input dataThis training is then developed on to generate further novel outputs (e.g. images, text, audio, or other forms of synthetic content). With reinforced training methods and algorithms, generative AI models are now also able to refine their outputs over time, continually enhancing their ability to produce creative content.

In light of the vast potential of the technology , generative AI applications continue to rapidly expand in various fields, including text and image generation, new musical compositions, financial services or even drug discovery. With the advanced large language models, generative AI systems can also simultaneously process and produce various types of data in different formats. For instance, when the trained model is instructed with data in text format, it may generate novel content in video or audio format according to those instructions.