AI inference vs. training: What is AI inference? | Cloudflare
AI inference is when an AI model produces predictions or conclusions. AI training is the process that enables AI models to make accurate inferences. After reading this article you will be able to: RELATED CONTENT What is artificial intelligence (AI)? What is machine learning? What is a large language model (LLM)? Predictive AI What is deep learning? Copy article link In the field of artificial intelligence (AI), inference is the process that a trained machine learning model* uses to draw conclusions from brand-new data. An AI model capable of making inferences can do so without examples of the desired result. In other words, inference is an AI model in action. An example of AI inference would be a self-driving car that is capable of recognizing a stop sign, even on a road it has never driven on before. The process of identifying this stop sign in a new context is inference. Another example: A machine learning model trained on the past performance of professional sports players may be a
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