Kjell Tore Guttormsen 692b3f75d8 docs(ms-ai-architect): KB-refresh critical cost 6/8 — token-counting verifisert mot fine-tuning-cost (RFT) + prompt-caching ... Verifisert mot live Microsoft Learn (foundry/openai/how-to/fine-tuning-cost-management, prompt-caching, use-your-data): - RFT (Reinforcement Fine-Tuning) lagt til (filen dekket kun SFT/DPO): tidsbasert «pris = treningstid × timepris + grader-tokens», ~$100/time core training for o4-mini-2025-04-16, per-job-tak $5000 (pauses + deploybart checkpoint ved tak, kan resume uten videre pristak). Cost-control-strategier med. - Cache-TTL-tabell hadde FEIL akse («Foundry Classic vs AI Services») → korrigert til in-memory (5-10 min/maks 1t, alle GPT-4o+) vs extended (24h, GPT-5-serien+gpt-4.1, default for nyere). - prompt_cache_key ~15 req/min overflow-caveat lagt til. - On Your Data deprecation 2026-10-14 flagget (3 steder: token-est-seksjon, Foundry-seksjon, kilde #6). - tiktoken model-set manglet o1-mini/o3-mini → lagt til. - Header 2026-02→2026-06, verification-date 2026-02-04→2026-06. Priser urørt (kanonisk peker). validate 239/0. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>		2026-06-23 22:53:35 +02:00
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ms-ai-advisor	docs(ms-ai-architect): KB-refresh tema-b — Foundry-navnesveip «Azure AI Foundry»→«Microsoft Foundry» (233 filer)	2026-06-23 21:00:27 +02:00
ms-ai-engineering	docs(ms-ai-architect): KB-refresh RBAC-rolle-renavn — Azure AI User→Foundry User (1 fil)	2026-06-23 21:23:09 +02:00
ms-ai-governance	docs(ms-ai-architect): KB-refresh critical cost 3/8 — cost-monitoring verifisert mot Foundry manage-costs	2026-06-23 22:40:53 +02:00
ms-ai-infrastructure	docs(ms-ai-architect): KB-refresh tema-b — Foundry-navnesveip «Azure AI Foundry»→«Microsoft Foundry» (233 filer)	2026-06-23 21:00:27 +02:00
ms-ai-security	docs(ms-ai-architect): KB-refresh critical cost 6/8 — token-counting verifisert mot fine-tuning-cost (RFT) + prompt-caching	2026-06-23 22:53:35 +02:00