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articles/ai-services/Anomaly-Detector/faq.yml

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ms.date: 01/18/2024
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ms.author: jingruhan
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author: jr-MS
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ms.manager: nitinme
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manager: nitinme
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title: Anomaly Detector frequently asked questions
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summary: This article contains answers to frequently asked troubleshooting questions about the Anomaly Detector service.
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sections:
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- name: Anomaly Detector frequently asked questions
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questions:
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questions:
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- question: |
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When will Anomaly Detector be deprecated?
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answer: |

articles/ai-services/LUIS/index.yml

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ms.topic: landing-page
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ms.date: 01/19/2024
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ms.author: aahi
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ms.manager: nitinme
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author: aahill
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manager: nitinme
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ms.service: azure-ai-language
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ms.subservice: azure-ai-luis
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#services: cognitive-services

articles/ai-services/LUIS/toc.yml

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href: luis-how-to-collaborate.md
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- name: With versions
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href: luis-how-to-manage-versions.md
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diplayName: import, export, container
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displayName: import, export, container
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- name: With Traffic Manager
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href: luis-traffic-manager.md
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- name: Use containers

articles/ai-services/document-intelligence/concept-invoice.md

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| Amount | Number | The amount of the line item | $60.00 | 100 |
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| Description | String | The text description for the invoice line item | Consulting service | Consulting service |
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| Quantity | Number | The quantity for this invoice line item | 2 | 2 |
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| OrderQuantity | Number | The ordered quantity for this line item. May differ from the quantity shipped and invoiced | 3 | 3 |
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| UnitPrice | Number | The net or gross price (depending on the gross invoice setting of the invoice) of one unit of this item | $30.00 | 30 |
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| ProductCode | String| Product code, product number, or SKU associated with the specific line item | A123 | |
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| Unit | String| The unit of the line item, e.g, kg, lb etc. | Hours | |
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| Date | date| Date corresponding to each line item. Often it's a date the line item was shipped | 3/4/2021| 2021-03-04 |
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| Tax | number | Tax associated with each line item. Possible values include tax amount, tax %, and tax Y/N | 10% | |
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The following are complex fields extracted from an invoice in the JSON output response:
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### TaxDetails
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Tax details aims at breaking down the different taxes applied to the invoice total.
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|Name| Type | Description | Text (line item #1) | Value (standardized output) |
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|:-----|:----|:----|:----| :----|
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| Items | string | Full string text line of the tax item | V.A.T. 15% $60.00 | |
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| Amount | number | The tax amount of the tax item | 60.00 | 60 |
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| Rate | string | The tax rate of the tax item | 15% | |
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### PaymentDetails
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List all the detected payment options detected on the field.
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|Name| Type | Description | Text (line item #1) | Value (standardized output) |
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|:-----|:----|:----|:----| :----|
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| IBAN | string | Internal Bank Account Number | GB33BUKB20201555555555 | |
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| SWIFT | string | SWIFT code | BUKBGB22 | |
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| BPayBillerCode | string | Australian B-Pay Biller Code | 12345 | |
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| BPayReference | string | Australian B-Pay Reference Code | 98765432100 | |
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### JSON output
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The JSON output has three parts:

articles/ai-services/document-intelligence/how-to-guides/includes/v4-0/javascript-sdk.md

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1. Install the `ai-document-intelligence` client library and `azure/identity` npm packages:
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```console
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npm i @azure/[email protected] @azure/identity
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npm i @azure-rest/[email protected] @azure/identity
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```
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Your app's *package.json* file is updated with the dependencies.
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## Use the Read model
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```javascript
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const { AzureKeyCredential, DocumentIntelligence } = require("@azure/ai-document-intelligence");
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const { AzureKeyCredential, DocumentIntelligence } = require("@azure-rest/ai-document-intelligence");
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//use your `key` and `endpoint` environment variables
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const key = process.env['DI_KEY'];
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## Use the Layout model
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const { AzureKeyCredential, DocumentIntelligence } = require("@azure-rest/ai-document-intelligence");
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const key = process.env['DI_KEY'];
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## Use the General document model
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const { AzureKeyCredential, DocumentIntelligence } = require("@azure-rest/ai-document-intelligence");
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const { AzureKeyCredential, DocumentIntelligence } = require("@azure-rest/ai-document-intelligence");
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const key = process.env['DI_KEY'];
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## Use the Invoice model
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const { AzureKeyCredential, DocumentIntelligence } = require("@azure-rest/ai-document-intelligence");
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## Use the Receipt model
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const { AzureKeyCredential, DocumentIntelligence } = require("@azure-rest/ai-document-intelligence");
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articles/ai-services/metrics-advisor/toc.yml

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displayname: cost, pricing, price, billing, bill
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articles/ai-services/openai/concepts/models.md

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description: Learn about the different model capabilities that are available with Azure OpenAI.
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articles/ai-services/openai/includes/model-matrix/quota.md

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| uksouth | - | - | 80 K | - | 240 K | - | 350 K | - | - | - | - | - | - | - | - | - |
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| westeurope | - | - | - | - | 240 K | - | 240 K | - | - | - | - | - | - | - | - | - |
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| westus | - | - | 80 K | 30 K | 300 K | - | 350 K | - | - | - | - | - | - | - | - | - |
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1 K = 1000 Tokens-Per-Minute (TPM). The relationship between TPM and Requests Per Minute (RPM) is [currently defined as 6 RPM per 1000 TPM](../../how-to/quota.md#understanding-rate-limits).

articles/ai-services/openai/includes/model-matrix/standard-embeddings.md

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articles/ai-services/openai/includes/model-matrix/standard-models.md

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