Until six months ago most of us probably hadn’t placed the words “prompt” and “engineer” in close proximity (except possibly for anyone involved in a construction project where a colleague had arrived to work consistently on time). Today, a “prompt engineer” is one of a new class of emerging jobs in a Large Language Model (LLM)-fueled world. Paid in the “telephone-number”-salary region, a prompt engineer is a modern day programmer-cum-wizard who understands how to make an AI do their bidding.

Adding context is one of the most important things that we do at Digital Science, whether that be through the tools that we make available to the research community while they’re making decisions, carrying out research or communicating their findings, or through our direct outreach and engagement with the community such as on our blogs and in our reports. TL;DR is not just a place to write our thoughts – it is a conversation.  It is at once a place for us to test ideas and to showcase methods and techniques, and at the same it is a place to connect with a community, to receive feedback and so to better understand our context.