MDFT Pro, a well-known training agency, needs to build an intelligent course recommendation system that can analyze semantic similarity between course materials, student essays, and training documents.
Mark, the Machine Learning Engineer, requires a solution that can convert course descriptions, syllabus content, and student submissions into numeric vectors that represent their semantic meaning. These vectors will be used to identify similar courses, detect plagiarism in student work, and recommend relevant training materials based on content similarity. The system must provide consistent, measurable similarity scores and minimize development complexity while handling large volumes of educational content.
Which Azure OpenAI model should Mark use to generate numeric vectors for semantic similarity comparison?
Choose the correct answer from the options below.
Explanations for each answer: