Contextual Training

Contextual training is a method where an AI or machine learning model learns by analyzing data within its specific environment or situation. Instead of just memorizing facts, it understands how different pieces of information relate to each other in real-world contexts. This approach helps the model make more accurate and relevant predictions or decisions because it considers the surrounding circumstances, similar to how humans interpret information based on the situation they’re in. Overall, contextual training enhances an AI’s ability to perform complex tasks more effectively by grounding learning in real-world relevance.