Level Up Team
The Foundry Mental Model
Module 5.1 of Level Up’s Azure AI Fundamentals series: how a Foundry resource, project, model deployment, tools, and an agent fit together in one Azure AI application.
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Insights & updates
DevOps automation, cloud native platforms, and agentic AI perspectives from the Level Up team.
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Level Up Team
Responsible AI Scenario Drill
Module 4.3 of Level Up’s Azure AI Fundamentals series: ten scenarios, the primary responsible-AI principle for each, and the mitigation that addresses that failure.
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Responsible AI in a Generative Application
Module 4.2 of Level Up’s Azure AI Fundamentals series: how the six principles become controls around a customer-support assistant, from data access through human escalation.
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The Six Responsible AI Principles
Module 4.1 of Level Up’s Azure AI Fundamentals series: fairness, reliability and safety, privacy and security, inclusiveness, transparency, and accountability.
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Configuration Parameters
Module 3.4 of Level Up’s Azure AI Fundamentals series: temperature, top-p, output limits, stop sequences, and system instructions that change behavior without retraining.
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Model Deployment Choices
Module 3.3 of Level Up’s Azure AI Fundamentals series: choosing a model for the workload, then deploying it with the right region, capacity, latency, and cost.
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Model Families and Capabilities
Module 3.2 of Level Up’s Azure AI Fundamentals series: language, multimodal, embedding, image-generation, and reasoning models, chosen by input, output, and task.
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From Training Data to Generated Output
Module 3.1 of Level Up’s Azure AI Fundamentals series: training versus inference, tokens, context windows, and why a fluent answer is still a probabilistic prediction.
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Your First Google Cloud Landing Zone: Five Decisions That Separate Good from Great
A good Google Cloud landing zone supports your first workload. A great landing zone makes every new workload easier to deploy, secure, and manage.
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Information Extraction Across Modalities
Module 2.5 of Level Up’s Azure AI Fundamentals series: structured fields from documents, images, audio, and video, and when to use Azure Content Understanding.
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