The rise of prompt ops: Tackling hidden AI costs from bad inputs and context bloat
This article is part of VentureBeat’s special issue, “The Real Cost of AI: Performance, Efficiency and ROI at Scale.” Read more from this special issue. Model providers continue to roll out increasingly sophisticated large language models (LLMs) with longer context windows and enhanced reasoning capabilities. This allows models to process and “think” more, but it also increases compute: The more a model takes in and puts out, the more energy it expends and the higher the costs. Couple this wi