153.31 MB | 5min 0s | mp4 | 1920X1080 | 16:9
Genre:eLearning |Language:English

Files Included :
FileName :01-Why AI requests break familiar architecture habits.mp4 | Size: (8.23 MB)
FileName :02-Mapping AI terminology to engineering decisions.mp4 | Size: (8.06 MB)
FileName :03-Deriving compute data identity and lifecycle characteristics.mp4 | Size: (7.82 MB)
FileName :04-Routing workloads outside foundation model architecture.mp4 | Size: (5.51 MB)
FileName :05-Walkthrough characterizing the Globomantics backlog.mp4 | Size: (6.94 MB)
FileName :01-Identifying the forces an AI workload puts in tension.mp4 | Size: (8.69 MB)
FileName :02-Weighing the customization decision and its operational burden.mp4 | Size: (8.65 MB)
FileName :03-Defining rigor criteria before platforms enter the reasoning.mp4 | Size: (8.3 MB)
FileName :04-Making rigor criteria measurable and testable.mp4 | Size: (6.77 MB)
FileName :05-Walkthrough setting rigor criteria for the claims intake agent.mp4 | Size: (8.37 MB)
FileName :01-Starting from the simplest viable design.mp4 | Size: (7.37 MB)
FileName :02-Testing each component against the workloads constraints.mp4 | Size: (8.51 MB)
FileName :03-Demo Comparing costs of minimal and over engineered designs.mp4 | Size: (20.25 MB)
FileName :04-Justifying the minimal architecture to stakeholders.mp4 | Size: (7.24 MB)
FileName :05-Walkthrough resolving the brand voice fine tuning request.mp4 | Size: (8.94 MB)]
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