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docs(ms-ai-architect): KB-refresh tema-b — Foundry-navnesveip «Azure AI Foundry»→«Microsoft Foundry» (233 filer)

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Verifisert mot offisiell MS-doc (juni 2026): «Microsoft Foundry» er det
gjeldende produkt-/portalnavnet; «Foundry (classic)» = gamle «Azure AI Foundry»
(/azure/foundry/ vs /azure/foundry-classic/). Premiss bekreftet før sveip.

Multi-regel, IKKE naiv s/Azure AI Foundry/Microsoft Foundry/ — MS dropper
«Azure AI» (legger IKKE til «Microsoft») for to produktvarianter:
- «Azure AI Foundry Agent[ Service|s]» → «Foundry Agent Service/Agents» (MS-form)
- «Azure AI Foundry Models» → «Foundry Models» (i «Azure OpenAI in Foundry Models»)
- «Azure AI Foundry SDK» → «Microsoft Foundry SDK» (operatør-valg)
- «Azure AI Foundry portal/project» + generisk → «Microsoft Foundry»
- Pre-eksisterende «Microsoft Foundry Models» (4) normalisert → «Foundry Models»

Bevart: «Azure OpenAI», «Azure AI Inference SDK», «Azure AI Search»,
«Azure AI Services», kode-IDer. Historisk ref «(tidligere Azure AI Foundry)»
i model-catalog-2026.md beskyttet via lookbehind. URL /azure/ai-foundry/→
/azure/foundry/ kun i owasp-llm-top10 (KB-ref); docs/-filer deferred.

Scope: skills (inkl. 3 SKILL.md) + commands + agents + README + CLAUDE.
Ekskludert: docs/ (interne), playground/+tests/ fixtures (testdata),
CHANGELOG.md (historisk logg), STATE.md (gitignored).

3 SKILL.md endret (advisor/engineering/security) → judge-cache teknisk
invalidert for disse, men scorer uendret: advisor 91, eng/gov/infra/sec 96
(alle ≥90). validate 239/0. 0 «Azure AI Foundry» igjen (utenom bevart ref).

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
This commit is contained in:
Kjell Tore Guttormsen 2026-06-23 21:00:27 +02:00
commit 03d596e4ec
233 changed files with 810 additions and 810 deletions
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6
skills/ms-ai-governance/references/responsible-ai/data-quality-responsible-ai.md
View file

@ -36,7 +36,7 @@ Denne referansen dekker Microsofts tilnærming til å sikre dataintegritet gjenn
**Teknikker for balansering:**
- **SMOTE** (Synthetic Minority Oversampling Technique) — genererer syntetiske eksempler for minoritetsklasser
- **Undersampling** — reduserer majoritetsklasser
- **Synthetic data generation** (Azure AI Foundry) — genererer representative datasett
- **Synthetic data generation** (Microsoft Foundry) — genererer representative datasett
### 2. Exploratory Data Analysis (EDA)
@ -292,7 +292,7 @@ data_quality_signal = DataQualitySignal(
)
```
### Azure AI Foundry
### Microsoft Foundry
- **Evaluation tools** → assess data quality before training
- **Synthetic data generation** → generate balanced datasets
@ -379,7 +379,7 @@ def customer_facing_data():
| **Responsible AI Dashboard** | Inkludert i Azure ML | Ingen ekstra kostnad |
| **Microsoft Purview** | Separate license | Data governance add-on |
| **Databricks Expectations** | Databricks license | Premium/Enterprise tier |
| **Azure AI Foundry** | Azure subscription | Separate compute charges |
| **Microsoft Foundry** | Azure subscription | Separate compute charges |
---