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AI · Theory

Languages used

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Theory

69/215

Languages used

Python dominates ML (NumPy, PyTorch, scikit-learn). C++/CUDA under the hood for speed. Prolog/Lisp showed up in old symbolic AI. Java/Scala in some industry pipelines. For a fresher interview, Python is the honest answer, plus “why” (libraries + readable experiments).

Output — idea / do / check for Languages used. Fill those three in the viva.

Diagram
text
    │ tokenize
    ▼
  tokens → task
    (class / translate / chat)
Exam tip

Why Python for AI labs.

Example

# Languages used
print("idea :", "Languages used")
print("do   : one tiny example on paper")
print("check: one failure case")

Output: idea / do / check for Languages used. Fill those three in the viva.

Short notes

  • DefPython for ML. C++ for speed.
  • RuleProlog = old symbolic.

Questions

1

Explain Languages used as if you are teaching a junior — definition, then one example.

2

What does the example print, and what does that prove?

3

What mistake do freshers make with Languages used?

Previous← Semantics of Propositional LogicNextSyntax of Propositional Logic →
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