The cost perspective of adopting Large Language Model-as-a-Service
Vasiliki Liagkou, Evangelia Filiopoulou, George Fragiadakis, Μάρα Νικολαϊδου, Christos Michalakelis
Abstract
Large Language Models (LLMs) are pivotal in generative AI applications. Consequently, major cloud providers, such as Amazon, Azure, and Google, introduce the offering of LLM-as-a-Service (LLMaaS) products to enable businesses to leverage NLP, data analysis, and predictive modeling in their cloud solutions. This paper explores the incorporation of LLM-as-a-Service solutions into business workflows with a focus on inference costs. We review various LLMaaS offerings and conduct a comparative analysis based on a real-world case study of an AI chatbot.
Topics & Concepts
Perspective (graphical)Computer scienceService (business)Artificial intelligenceBusinessMarketingNatural Language Processing TechniquesTopic ModelingSemantic Web and Ontologies