Training data and model training
AI models learn from training data — massive collections of text, images, and code created by humans. The model finds patterns in this data and learns to generate similar output. It has not memorized the training data — it has learned patterns from it, the way a medical student learns from textbooks without memorizing them word for word. Different models train on different data with different approaches, which is why they have different strengths. What none of them trained on is YOUR company data. That is why connecting AI to your specific operational data through a semantic layer is what transforms it from a general-purpose assistant into a domain expert.
Go deeper
Your 12-location HVAC company is evaluating an AI vendor who says their platform 'understands HVAC operations.' Here is the question that matters: what did the model actually train on? If the answer is 'the public internet,' it knows what HVAC stands for and can describe how a heat pump works. It does not know that your company defines 'first-time fix rate' differently than the industry standard, that your warranty terms vary by equipment brand, or that your Denver branch uses a different parts supplier than the rest of the network.
The common misconception is that a model trained on more data is automatically better for your business. A model trained on a trillion words of internet text knows a lot about everything and very little about you. The models that perform best in business settings are general models that have been connected — not retrained — to your specific operational data at query time. This is cheaper, faster to set up, and easier to update than custom training.
Questions for any AI vendor: Was your model trained on data from our specific industry, and can you show us the training sources? When our business rules change, how quickly does the system reflect those changes — instantly, or does it require retraining? What is the difference between what the model 'knows' from training and what it retrieves from our data at query time?