docs(architect): weekly KB update — 106 files refreshed (2026-04)
Updates across all 5 skills: ms-ai-advisor, ms-ai-engineering, ms-ai-governance, ms-ai-security, ms-ai-infrastructure. Key changes: - Language Services (Custom Text Classification, Text Analytics, QnA): retirement warning 2029-03-31, migration guides to Foundry/GPT-4o - Agentic Retrieval: 50M free reasoning tokens/month (Public Preview) - Computer Use: Claude Sonnet 4.5 (preview) + OpenAI CUA models - Agent Registry: Risks column (M365 E7), user-shared/org-published types - Declarative agents: schema v1.5 → v1.6, Store validation requirements - MLflow 3: 13 built-in LLM judges, production monitoring, Genie Code - AG-UI HITL: ApprovalRequiredAIFunction (C#) + @tool(approval_mode) (Python) - Entra ID Ignite 2025: Agent ID Admin/Developer RBAC roles, Conditional Access - Security Copilot: 400 SCU/month per 1000 M365 E5 licenses, auto-provisioned - Fast Transcription API: phrase lists, 14-language multi-lingual transcription - Azure Monitor Workbooks: Bicep support, RBAC specifics - Power Platform Copilot: data residency (Norway/Europe → EU DB, Bing → USA) - RAG security-rbac: 4-approach table (GA + 3 preview access control methods) - IaC MLOps: Well-Architected OE:05 principles, Bicep/Terraform patterns - Translator: image file batch translation Preview (JPEG/PNG/BMP/WebP) All 106 files: Last updated 2026-04 | Verified: MCP 2026-04 Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
This commit is contained in:
parent
0eb30fa853
commit
6645e93205
104 changed files with 1986 additions and 520 deletions
|
|
@ -1,6 +1,6 @@
|
|||
# Role-Playing and Persona-Based Prompting
|
||||
|
||||
**Last updated:** 2026-02
|
||||
**Last updated:** 2026-04 | Verified: MCP 2026-04
|
||||
**Status:** GA
|
||||
**Category:** Prompt Engineering & LLM Optimization
|
||||
|
||||
|
|
@ -359,17 +359,22 @@ You are a friendly technical support specialist for [Product].
|
|||
5. ✅ Give **a way out** – "If unable, respond with 'not found'"
|
||||
6. ✅ Test and refine – Iterer basert på faktisk bruk
|
||||
|
||||
**Prompt Node for Dynamic Personas:**
|
||||
**Prompt Node for Dynamic Personas (nlu-prompt-node, Verified 2026-04):**
|
||||
|
||||
Bruk prompt nodes i topics for å endre persona mid-flow:
|
||||
Bruk prompt nodes i topics for å endre persona mid-flow. Legges til via "Add a tool" → "New prompt" i topic:
|
||||
|
||||
```yaml
|
||||
Node Type: Prompt
|
||||
Persona Override:
|
||||
"For this specific question, act as a billing specialist.
|
||||
Provide detailed information about payment terms and invoice procedures."
|
||||
Node Type: Prompt (Add a tool > New prompt)
|
||||
Best practices:
|
||||
- Be specific: Klare instruksjoner gir forutsigbare svar
|
||||
- Use examples: Illustrer forventet oppførsel
|
||||
- Keep it brief: Lange instruksjoner → latency og timeouts
|
||||
- Give a way out: "respond with not found if answer isn't present"
|
||||
- Temperature: Kontroller kreativitet/determinisme per prompt
|
||||
```
|
||||
|
||||
Prompts kan også legges til på agent-nivå (Tools tab) eller som node i agent flows (AI capabilities → Run a prompt).
|
||||
|
||||
### Microsoft 365 Copilot (Enterprise)
|
||||
|
||||
**Grounding prompts:**
|
||||
|
|
@ -670,8 +675,8 @@ If uncertain, explain limitations.
|
|||
3. [Prompt engineering techniques - Azure OpenAI](https://learn.microsoft.com/en-us/azure/ai-foundry/openai/concepts/prompt-engineering)
|
||||
*Bredere prompt-veiledning inkludert few-shot og token efficiency*
|
||||
|
||||
4. [Use prompts in Copilot Studio](https://learn.microsoft.com/en-us/microsoft-copilot-studio/nlu-prompt-node)
|
||||
*Best practices for Copilot Studio prompt instructions*
|
||||
4. [Use prompts in Copilot Studio](https://learn.microsoft.com/en-us/microsoft-copilot-studio/nlu-prompt-node) (Re-verified MCP 2026-04)
|
||||
*Prompt editor features: natural language creation, template library, model selection (Azure OpenAI/Foundry), temperature, knowledge retrieval, code interpreter. Prompt-nivå: agent-tool, topic-node, agent flow-node.*
|
||||
|
||||
5. [Azure OpenAI On Your Data - Best practices](https://learn.microsoft.com/en-us/azure/ai-foundry/openai/concepts/use-your-data)
|
||||
*System message bruk i RAG-scenarier*
|
||||
|
|
@ -689,5 +694,5 @@ If uncertain, explain limitations.
|
|||
- ✅ **Documented best practices:** Authoring techniques tabeller
|
||||
- ⚠️ **Implementation-dependent:** Nøyaktig token cost varierer med model version
|
||||
|
||||
**Siste oppdatering:** 2026-02-04
|
||||
**Neste review:** 2026-05 (når nye prompt engineering features annonseres på Build 2026)
|
||||
**Siste oppdatering:** 2026-04-10
|
||||
**Neste review:** 2026-07
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue