Glossary

NP-Hardness refers to a specific class of problems in computer science known for their immense complexity. They’re as tough as the hardest NP problems and are considered challenging to solve with conventional algorithms. However, their solutions can be verified within a polynomial timeframe, providing a unique balance of difficulty and verifiability.

Occam’s Razor is a fundamental AI principle that advocates for simplicity in models and explanations, emphasizing that the simplest solution often yields the most accurate results.

Offline Learning in AI is a method where a finite, static dataset trains the model exhaustively in multiple passes and updates the parameters post-learning.