Open the app Sign in Start free

NCA-AIIO - Essential AI Knowledge - Section 1.4

Explain factors contributing to the recent rapid improvement and adoption of AI.

Explain how the convergence of larger datasets, increased GPU compute, and advances in neural-network architectures such as transformers has accelerated AI progress. Recognise that reduced cloud infrastructure costs and the availability of open-source frameworks have lowered the barrier to enterprise AI adoption.

More in this domain

Describe the NVIDIA software stack used in an AI environment.Section 1.1
Compare and contrast training and inference architecture requirements and considerations.Section 1.2
Differentiate the concepts of AI, machine learning, and deep learning.Section 1.3
Explain key AI use cases and industries.Section 1.5
Explain the purpose and use case of various NVIDIA solutions.Section 1.6
Describe software components related to the lifecycle of AI development and deployment.Section 1.7
Compare and contrast GPU and CPU architectures.Section 1.8

Back to all Essential AI Knowledge objectives, or the NCA-AIIO cert hub.

Examworthy is not affiliated with or endorsed by NVIDIA. Original, blueprint-aligned practice material only.