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Academia Aura

Seção 1 · Fundamentos

IA, machine learning e deep learning

IA é o campo amplo. ML aprende padrões com dados; deep learning usa redes neurais em camadas. Um produto útil é um sistema maior ao redor do modelo.

Iniciante20 minutos

Ao final você poderá

  • 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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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.

Confusões comuns

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  • 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.

Palavras-chave

Afficher +Réduire −
  • AI
  • algorithm
  • model
  • data
  • parameter
  • training
  • loss
  • gradient
  • generalization
  • overfitting

Fontes primárias e oficiais

Voir les sources +Réduire −
Deep Learning bookOpen reference by Goodfellow, Bengio and Courville on machine learning and deep learning foundations.NIST AI Risk Management FrameworkAuthoritative framework for governing, mapping, measuring and managing AI risks.
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