Inference is the process by which an
AI model applies its learned knowledge to generate responses, predictions, or perform tasks from input data. It is the process of applying a
trained model to new data to produce an output.
In artificial intelligence models, inference is the fundamental process by which a system uses its prior knowledge to analyze new data and generate results.
AI models use complex mathematical
patterns to produce results that go beyond the exact data they were
trained on.
Each type of model applies inference specifically: a
large language model receives textual information and generates coherent responses, while a vision model can identify objects in images or a predictive model can anticipate trends in financial data.
For example, when you use ChatGPT to solve a problem, a disease detection system analyzes medical images, or a recommendation
algorithm suggests products, each is performing an inference: interpreting input data, searching its learned knowledge, and constructing a coherent and relevant response or prediction.