Concept 1 / 5
AI is a field, not one technology
AI includes rules, search, planning, optimization, probabilistic methods, machine learning and hybrids. The simplest adequate method is often the most reliable.
Aura Akademie
Abschnitt 1 · Grundlagen
KI, Machine Learning und Deep Learning
KI ist das breite Feld. ML lernt Muster aus Daten; Deep Learning nutzt mehrschichtige neuronale Netze. Ein Produkt ist ein größeres System um das Modell.
Einstieg20 Minuten
Danach kannst du
- Distinguish AI, machine learning, deep learning, a model and a complete system.
- Recognize supervised, self-supervised and reinforcement learning.
- Choose a baseline before reaching for a large model.
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Häufige Verwechslungen
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Häufige Verwechslungen
- Calling every automation “AI” hides whether the system follows rules, searches, predicts or learns.
- A benchmark score does not guarantee performance on your users, language, data or failure modes.
- AGI and ASI are debated capability goals, not proven properties of current general-purpose models.
Schlüsselbegriffe
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Schlüsselbegriffe
- AI
- algorithm
- model
- data
- parameter
- training
- loss
- gradient
- generalization
- overfitting