A financial company is using ML to help with some of the company’s tasks. Which option is a use of generative AI models?
Select an option, then click Submit answer.
Reference / correct answer:
Summarizing customer complaints
Most accepted answer: A. Summarizing customer complaints
Community votes: A=4
Selected Answer: A Generative AI models are designed to generate new content, such as text, images, audio, or code, based on patterns learned from data. Summarizing customer complaints involves text generation, where the model reads input text (complaints) and generates a concise summary — a classic use case for generative AI models like large language models (LLMs). Why not the others? B. Classifying customers based on product usage – This is classification, a discriminative ML task, not generative. C. Segmenting customers based on type of investments – This is clustering/segmentation, again not generative. D. Forecasting revenue for certain products – This is time series forecasting, a predictive modeling task, not generative. upvoted 6 times
Selected Answer: A Generative AI excels at creating, transforming, and summarizing content. Summarizing customer complaints involves understanding text and generating a concise summary, which is a common generative AI use case. upvoted 1 times
Selected Answer: A A is the correct answer upvoted 1 times
Selected Answer: A I go with A upvoted 2 times
Selected Answer: U Modelos generativos de IA são projetados para criar ou gerar novo conteúdo, como texto, imagem, áudio ou código. No contexto da empresa: A. Resumindo as reclamações dos clientes → envolve geração de texto novo com base em linguagem natural, o que é uma aplicação típica de modelos generativos (como o GPT da OpenAI). As outras opções são exemplos de modelos discriminativos ou preditivos, e não generativos: B. Classificação de clientes com base no uso do produto → é classificação (modelo preditivo) C. Segmentação de clientes com base no tipo de investimentos → é clusterização (modelo de agrupamento) D. Previsão de receita para determinados produtos → é regressão (modelo preditivo) upvoted 2 times
