Article Recommendation System

Cohere's platform supports building article recommender systems by integrating text embedding, classification, and entity extraction capabilities. This allows for the creation of systems that can understand article content, categorize it, and extract key information to provide personalized recommendations. This post details the technical implementation of an AI-powered Magic the Gathering card generator, focusing on prompt engineering, data preparation, and model fine-tuning to produce game-specific content.