Generative AI (GenAI) is rapidly transforming the tech landscape, empowering the creation of entirely new content formats from text, code and images. For technologists, this presents both exciting opportunities and challenges. This article dives deep into how you, as a tech professional, can navigate the world of GenAI, covering aspects like prompts, staying updated, model selection, skill development, internal implementation and communication with non-technical stakeholders.

The barriers to entry for using this exciting technology have come down - so how ARE you going to use it to full advantage?

Generative AI has advanced rapidly in recent years, enabling exciting and diverse developments and applications across various industries. The last year especially has seen a big leap in the AI hype curve. From marketing, finance and education, to gaming, social media and even space travel, the possibilities of generative AI seem endless. Here, we explore some of the best publicly available use cases for generative AI, showcasing how the technology is transforming many different services and sectors.

Find out more about the big changes on the way at the Generative AI Week.

What are the Possibilities for Large Language Models (LLMs), Smaller Language Models (SLMs) and emerging Multimodal Language Models (MLMs)?

When we consider that some forecasts indicate that generative AI could reach a value of $909 billion by 2030, it is no surprise that the disruptive technology is a key focus area for business leaders.