Video by H2O.ai via YouTube
Every agent, language model and predictive system is built on the same foundation. Get this part right and the rest of the glossary is easier.
Terms covered:
– Artificial Intelligence: systems that learn, adapt and improve from data instead of following fixed rules written by a programmer
– Machine Learning: the mechanism, where a model learns to tell fraud from non-fraud by seeing thousands of examples
– Features: the variables and attributes that tell a model what to pay attention to
– GPU: the hardware that makes training viable on text, images and video, built for thousands of calculations running at once
AI sets the vision. Machine learning is the mechanism. Features are what the model learns from. GPUs are what make it scalable.
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AI Fundamentals Glossary | H2O.ai University
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