Exam vocabulary
AI+ Cloud PathTerms™
13 plain-language terms mapped for AI+ Cloud. Lists are Accumentum study aids based on our glossary and PathKey™ coverage, not a vendor blueprint reprint.
Showing 13 terms in a learn-these-first order.
- Model TrainingModel training teaches AI algorithms to perform tasks by learning from data, a key concept in AI development and certification.
- AI+ CloudAI+ Cloud is a professional certification topic covered in Accumentum training catalogs and PathKey™ guides.
- AI TransformationAI Transformation is the strategic integration of AI across an enterprise, rethinking processes and data for enhanced decision making and innovation.
- Applications of Foundation ModelsPractical uses of large, pre-trained AI models that can be adapted for diverse tasks and industries.
- Feature storeA feature store is a centralized repository for managing and serving machine learning features, ensuring consistency and reusability across models.
- Foundation Model (FM) DevelopmentFoundation Model (FM) Development creates versatile AI models trained on vast data, adaptable to many tasks with minimal fine tuning.
- Foundation Model IntegrationIntegrating pre-trained AI models into applications to add advanced capabilities quickly and efficiently.
- Foundation ModelsFoundation models are large, versatile AI models trained on massive datasets, adaptable to many tasks with minimal fine-tuning.
- Model DeploymentModel deployment makes trained AI models available for real-world use, enabling them to process new data and generate insights.
- NVIDIA Hardware for AINVIDIA Hardware for AI encompasses specialized computing components, primarily GPUs, that accelerate AI and machine learning calculations.
- Transfer learningLeverage pre-trained AI models for new tasks, saving time and data. Faster development, better accuracy.
- Vector databaseA vector database stores and queries data as numerical vectors, enabling efficient similarity searches for AI applications.
- Fine-tuningFine-tuning adapts pre-trained AI models for specific tasks using new data, enhancing performance with less effort.
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