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Showing 15 results for “generative-ai”.
ADOBE-ACP-FIREFLY · Design production
Production requirements depend on whether an asset will be printed, displayed on the web or reused in another editing workflow. Confirm dimensions, resolution, color handling and required fi…
ADOBE-ACP-FIREFLY · Usability and accessibility
Usability concerns effectiveness, efficiency and the experience of accomplishing a goal. Accessibility considers barriers related to differing abilities and assistive technologies. Test keyb…
ADOBE-ACP-FIREFLY · Visual communication
Visual hierarchy uses size, contrast, spacing and placement to show what matters and what belongs together. Start with the communication goal rather than decoration. Consistent alignment and…
AWS-AIP · AI security boundaries
This concept review develops the reasoning needed for ai security boundaries. Start by identifying the relevant assets, permissions, evidence and trust boundaries. Distinguish what the obser…
AWS-AIP · Application and API design
An API contract defines accepted inputs, authorization, outputs and failure behavior. Clients need predictable responses and safe handling of timeouts and retries. Validate data at the bound…
AWS-AIP · AWS AI and machine learning
An AI workload may call an existing model, adapt one, or train a task-specific model. These choices have different data, evaluation and operational needs. Match the approach to the problem a…
AWS-AIP · Generative AI systems
A generative model produces output based on its learned patterns and the context it receives. Retrieval can supply relevant documents, but the model may still misunderstand or invent details…
DBX-GAI · Databricks lakehouse concepts
A lakehouse workflow can separate raw ingestion from validated and business-ready datasets. Each layer should have a clear contract rather than merely a different folder name. Preserve enoug…
DBX-GAI · Generative AI systems
A generative model produces output based on its learned patterns and the context it receives. Retrieval can supply relevant documents, but the model may still misunderstand or invent details…
DBX-GAI · Machine-learning engineering
Data leakage occurs when training or model selection uses information that would not be available at prediction time. Split data in a way that respects time and related entities, and fit lea…
DBX-GAI · Responsible AI evaluation
Aggregate accuracy can hide poor performance for particular users or situations. Evaluate representative subgroups and realistic failure cases, and consider privacy, misuse and human oversig…
GCP-GAIL · AI security boundaries
This concept review develops the reasoning needed for ai security boundaries. Start by identifying the relevant assets, permissions, evidence and trust boundaries. Distinguish what the obser…
GCP-GAIL · Cloud security
Moving a workload to a provider does not remove the need to manage permissions, secrets and sensitive information. Map where data enters, is stored and leaves, then identify the identities a…
GCP-GAIL · Generative AI systems
A generative model produces output based on its learned patterns and the context it receives. Retrieval can supply relevant documents, but the model may still misunderstand or invent details…
GCP-GAIL · Responsible AI evaluation
Aggregate accuracy can hide poor performance for particular users or situations. Evaluate representative subgroups and realistic failure cases, and consider privacy, misuse and human oversig…
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