AI solves problems and creates action plans based on learned patterns.
Training is learning from data; inference is making predictions based on that learning.
Compact AI models using less data and computational power.
Anchoring AI models to real-world data to improve accuracy.
Using external data sources to enhance AI accuracy without retraining.
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