Inference
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What is Inference?
In artificial intelligence (AI), inference refers to the process by which a trained machine learning model makes predictions or draws conclusions from new, unseen data. Unlike training, inference involves the model applying what it has learned to make decisions without needing examples of the exact result. In essence, inference is the AI model actively functioning. For example, a self-driving car recognizing a stop sign on a road it has never encountered before demonstrates inference. The model identifies the stop sign in a new setting, using its learned knowledge to make a decision in real-time.
Free resources to learn Inference
- ArticleInference vs Training
- ArticleWhat is Machine Learning Inference?
More in stage 2: How LLMs Work
Inference: common questions
Can I learn Inference in Hindi?
This lesson is written in English. Once you sign in, open it in the interactive course and ask the AI tutor to explain Inference in Hindi or Hinglish. The tutor answers from this lesson’s own text, so it stays on the syllabus, and it runs on your own Google, OpenAI or Anthropic key.
Is this Inference tutorial for beginners?
It is lesson 14 of 189 in the free AI Engineer roadmap, in stage 2, How LLMs Work. If you are new to AI Engineer, start from stage 1 and come back here in order; if you already know the earlier stages, this lesson stands on its own.