— Concepts

    Academic AI

    The research-led path: studying ML theory, model architecture, and pure science.

    What is Academic AI?

    Academic AI is the research-focused path — math, theory, model architecture, optimisation, novel algorithms. Output: PhDs, research scientists, ML engineers at frontier labs. Best pursued at IITs, IISc, IIITs, or top foreign universities. Distinct from applied AI, which uses existing models without re-training.

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    ONROL pages on Academic AI

    Academic vs Applied AI

    — Related

    Terms connected to Academic AI

    Concepts

    Applied AI

    The practical use of AI tools to ship products and outcomes.

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    Techniques

    Fine-Tuning

    Adjusting a pre-trained AI model on your specific data to change its behaviour.

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    Techniques

    Training Data

    The text, images, or examples used to teach an AI model what to do.

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    — Apply this

    From definitions to deployed projects.

    Knowing what a term means is step one. ONROL's AI Generalist track gets you shipping projects that use it.

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