Every development in AI promises new peaks of potential, and one discipline continues to evolve for harnessing these heights—prompt engineering. Prompt engineering is a field where precise phrasing guides Large Language Models (LLMs) like ChatGPT to produce astonishingly useful responses.
The AI revolution, marked by the ascension of Generative AI and Large Language Models (LLMs), has crystallized a profound shift in business strategy. Yet, amidst the pulsating hype, the purview of LLMOps will winnow out fleeting endeavors from lasting innovations.
AI has been a pioneering force, challenging our preconceptions and pushing the boundaries of what machines can achieve. Our interactions with these algorithmic entities, particularly with models such as Generative Pre-trained Transformers (GPTs), reveal deep truths about AI and ourselves.
This article examines two prominent AI tools, OpenAI's ChatGPT and Microsoft's Copilot, within their respective contexts. We evaluate their technological scaffolding, operational characteristics, and strategic use cases to delineate the requirements they fulfill in distinct user segments.
That's just what we do: we anthropomorphize. We bestow human characteristics on our dogs, cats, budgies, even our favorite houseplants, and sometimes gods and politicians. This tendency reflects our inherent desire to connect and find familiarity in the world around us.
