What are the three different methodologies AI systems use for crawling? (check all that apply)

AI systems utilize three primary crawling methodologies. Live Retrieval Crawlers are designed to fetch real-time data from the web, ensuring the AI has access to the most current information. Training Crawlers are used to gather vast datasets specifically for training AI models, enabling them to learn patterns and make predictions. Index Building Crawlers focus on discovering and indexing content for search engines or internal knowledge bases, making information searchable and accessible. Image Crawlers are a type of specialized crawler, but not one of the three overarching methodologies for AI systems.