docs: revised updates for v1.4.0

awslabs · Aug 11, 2023 · 8081215 · 8081215
1 parent bc4b939
commit 8081215
Show file tree

Hide file tree

Showing 25 changed files with 40 additions and 39 deletions.
diff --git a/docs/en-branded/cost.md b/docs/en-branded/cost.md
@@ -1,4 +1,4 @@
-You will be responsible for the cost of using each of the Amazon services when running the solution. As of December 2022, the main factors affecting the solution cost include:
+You will be responsible for the cost of using each of the Amazon services when running the solution. As of this revision, the main factors affecting the solution cost include:
 
 - Amazon API Gateway calls
 - Amazon API Gateway data output

diff --git a/docs/en-branded/deploy-image-super-resolution.md b/docs/en-branded/deploy-image-super-resolution.md
@@ -68,7 +68,7 @@ feature_scenario: Applicable to converting original image assets into high resol
 
 ## Cost Estimation 
 
-You are responsible for the cost of using each Amazon Web Services service when running the solution. As of June 2022, the main cost factors affecting the solution include.
+You are responsible for the cost of using each Amazon Web Services service when running the solution. As of this revision, the main cost factors affecting the solution include.
 
 - Amazon API Gateway calls
 - Amazon API Gateway data output

diff --git a/docs/en-branded/deploy-text-similarity.md b/docs/en-branded/deploy-text-similarity.md
@@ -94,7 +94,7 @@ With text pair as input, it returns the cosine similarity of two texts. This is
 
 ## Cost Estimation
 
-You are responsible for the cost of using each Amazon Web Services service when running the solution. As of June 2022, the main cost factors affecting the solution include.
+You are responsible for the cost of using each Amazon Web Services service when running the solution. As of this revision, the main cost factors affecting the solution include.
 
 - Amazon Lambda invocations
 - Amazon Lambda running time

diff --git a/docs/en-branded/include-deploy-cost-10GB.md b/docs/en-branded/include-deploy-cost-10GB.md
@@ -1,6 +1,6 @@
 ## Cost estimation
 
-You are responsible for the cost of using each Amazon Web Services service when running the solution. As of June 2022, the main cost factors affecting the solution include.
+You are responsible for the cost of using each Amazon Web Services service when running the solution. As of this revision, the main cost factors affecting the solution include.
 
 - Amazon API Gateway calls
 - Amazon API Gateway data output

diff --git a/docs/en-branded/include-deploy-cost-8GB.md b/docs/en-branded/include-deploy-cost-8GB.md
@@ -1,6 +1,6 @@
 ## Cost estimation
 
-You are responsible for the cost of using each Amazon Web Services service when running the solution. As of June 2022, the main cost factors affecting the solution include.
+You are responsible for the cost of using each Amazon Web Services service when running the solution. As of this revision, the main cost factors affecting the solution include.
 
 - Amazon API Gateway calls
 - Amazon API Gateway data output

diff --git a/docs/en/cost.md b/docs/en/cost.md
@@ -1,4 +1,4 @@
-You will be responsible for the cost of using each of the AWS services when running the solution. As of December 2022, the main factors affecting the solution cost include:
+You will be responsible for the cost of using each of the AWS services when running the solution. As of this revision, the main factors affecting the solution cost include:
 
 - Amazon API Gateway calls
 - Amazon API Gateway data output
@@ -22,8 +22,9 @@ You can refer to the Cost Estimation section corresponding to each API to check
 
 | **API** | **Cost Estimation** |
 |--------------|--------------|
-|General OCR (Simplified Chinese)|[View](deploy-general-ocr.md#_3)|
-|General OCR (Traditional Chinese)|[View](deploy-general-ocr-traditional.md#_3)|
+|Lite OCR (Simplified Chinese)|[View](deploy-general-ocr.md#_3)|
+|Lite OCR (Traditional Chinese)|[View](deploy-general-ocr-traditional.md#_3)|
+|Advanced OCR (Multilingual)|[View](deploy-advanced-ocr.md#_3)|
 |Custom OCR|[View](deploy-custom-ocr.md#_3)|
 |Car License Plate|[View](deploy-car-license-plate.md#_3)|
 |Face Detection|[View](deploy-face-detection.md#_3)|

diff --git a/docs/en/deploy-advanced-ocr.md b/docs/en/deploy-advanced-ocr.md
@@ -5,7 +5,7 @@ feature_endpoint: advanced_ocr
 deployment_time: 20 Minutes
 destroy_time: 10 Minutes
 sample_image: Image URL address
-feature_description: Advanced OCR for Multi-languages(Simplified Chinese, Vietnamese, Korean, Japanese) and numbers, alphabetical characters, symbols. Return the information such as text or coordinates.
+feature_description: Advanced OCR for multiple languages (Simplified Chinese, Vietnamese, Korean, Japanese) and numbers, alphabetical characters, symbols. Return the information such as text or coordinates.
 feature_scenario: Applicable to a variety of scenarios such as paper documents changed to electronic format, document identification, and content review to improve information processing efficiency.
 ---
 

diff --git a/docs/en/deploy-general-nlu.md b/docs/en/deploy-general-nlu.md
@@ -14,7 +14,7 @@ include "include-deploy-description.md"
 %}
 
 !!! Info "Note"
-    In v1.4.0, General NLU API only support Chinese language processing.
+    In version 1.4.0, General NLU API only supports Chinese language processing.
 
 ## API reference
 
@@ -26,10 +26,10 @@ include "include-deploy-description.md"
 
 | **Name**     | **Type** | **Required** | **Description**                                                |
 |--------------|----------|--------------|----------------------------------------------------------------|
-| subtask_type | *String* | Yes          | Fixed as "Text Classification"                                 |
-| text         | *String* | Yes          | The text to be classified                                      |
-| choices      | *List*   | Yes          | Candidate labels, please refer to the **Request Body Example** |
-| question     | *String* | Yes          | Prompts the model for guidance                                 |
+| subtask_type | *String* | Yes          | Has the fixed value of "Text Classification".                                 |
+| text         | *String* | Yes          | Indicates the text to be classified.                                      |
+| choices      | *List*   | Yes          | Indicates the candidate labels. For more information, please refer to the **Request Body Example**. |
+| question     | *String* | Yes          | Used to prompt the model for guidance.                                 |
 
 - Example Request
 
@@ -105,7 +105,7 @@ include "include-deploy-description.md"
 
 **Example 1 Response**
 
-Assuming the model returns the category of the "unclassified text" as "sports."
+Assume the model returns the category of the "unclassified text" as "sports."
 
 ``` json
 {
@@ -180,7 +180,7 @@ Assuming the model returns the category of the "unclassified text" as "sports."
 | subtask_type | *String* | Yes          | Fixed as "Sentiment Classification"                                      |
 | text         | *String* | Yes          | The text to be classified                                                |
 | choices      | *List*   | Yes          | Candidate sentiment labels, please refer to the **Request Body Example** |
-| question     | *String* | Yes          | Prompts the model for guidance                                           |
+| question     | *String* | Yes          | Used to prompt the model for guidance                                           |
 
 - Example Request
 
@@ -214,7 +214,7 @@ Assuming the model returns the category of the "unclassified text" as "sports."
 
 - Example JSON response
 
-Assuming the model returns the sentiment polarity of the "unclassified user comment" as "neutral."
+Assume the model returns the sentiment polarity of the "unclassified user comment" as "neutral."
 
 ``` json
 {
@@ -246,8 +246,8 @@ Assuming the model returns the sentiment polarity of the "unclassified user comm
 
 | **Name**     | **Type** | **Required** | **Description**                                                                                                                                                                                                                             |
 |--------------|----------|--------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
-| subtask_type | *String* | Yes          | Fixed as "Text Matching"                                                                                                                                                                                                                    |
-| text         | *String* | Yes          | The first text                                                                                                                                                                                                                              |
+| subtask_type | *String* | Yes          | Has the fixed value of "Text Matching"                                                                                                                                                                                                                    |
+| text         | *String* | Yes          | Indicates the first text                                                                                                                                                                                                                              |
 | choices      | *List*   | Yes          | The entity_type of each element is the concatenation of the prompt word with the second text, for example, "can be inferred: second text" or "can be understood as: second text". Please refer to the **Request Body Example** for details. |
 | question     | *String* | Yes          | Prompts the model for guidance                                                                                                                                                                                                              |
 
@@ -392,7 +392,7 @@ Assuming the model returns the sentiment polarity of the "unclassified user comm
 
 - Example JSON response
 
-Assuming the model returns the sentiment polarity of the "unclassified user comment" as "neutral."
+Assume the model returns the sentiment polarity of the "unclassified user comment" as "neutral."
 
 ``` json
 {

diff --git a/docs/en/deploy-image-super-resolution.md b/docs/en/deploy-image-super-resolution.md
@@ -68,7 +68,7 @@ feature_scenario: Applicable to converting original image assets into high resol
 
 ## Cost Estimation 
 
-You are responsible for the cost of using each Amazon Web Services service when running the solution. As of June 2022, the main cost factors affecting the solution include.
+You are responsible for the cost of using each Amazon Web Services service when running the solution. As of this revision, the main cost factors affecting the solution include.
 
 - Amazon API Gateway calls
 - Amazon API Gateway data output

diff --git a/docs/en/deploy-text-similarity.md b/docs/en/deploy-text-similarity.md
@@ -94,7 +94,7 @@ With text pair as input, it returns the cosine similarity of two texts. This is
 
 ## Cost Estimation
 
-You are responsible for the cost of using each Amazon Web Services service when running the solution. As of June 2022, the main cost factors affecting the solution include.
+You are responsible for the cost of using each Amazon Web Services service when running the solution. As of this revision, the main cost factors affecting the solution include.
 
 - AWS Lambda invocations
 - AWS Lambda running time

diff --git a/docs/en/include-deploy-cost-10GB.md b/docs/en/include-deploy-cost-10GB.md
@@ -1,6 +1,6 @@
 ## Cost estimation
 
-You are responsible for the cost of using each Amazon Web Services service when running the solution. As of June 2022, the main cost factors affecting the solution include.
+You are responsible for the cost of using each Amazon Web Services service when running the solution. As of this revision, the main cost factors affecting the solution include.
 
 - Amazon API Gateway calls
 - Amazon API Gateway data output
@@ -20,7 +20,7 @@ If you choose an Amazon SageMaker based deployment, the factors also include:
 
 ### Cost estimation example 1
 
-In AWS China (Ningxia) Region operated by NWCD (cn-northwest-1), process an image of 1MB in 1 seconds
+In AWS China (Ningxia) Region operated by NWCD (cn-northwest-1), process an image of 1MB in 1 second
 
 The cost of using this solution to process the image is shown below:
 

diff --git a/docs/en/include-deploy-cost-8GB.md b/docs/en/include-deploy-cost-8GB.md
@@ -1,6 +1,6 @@
 ## Cost estimation
 
-You are responsible for the cost of using each Amazon Web Services service when running the solution. As of June 2022, the main cost factors affecting the solution include.
+You are responsible for the cost of using each Amazon Web Services service when running the solution. As of this revision, the main cost factors affecting the solution include.
 
 - Amazon API Gateway calls
 - Amazon API Gateway data output
@@ -20,7 +20,7 @@ If you choose an Amazon SageMaker based deployment, the factors also include:
 
 ### Cost estimation example 1
 
-In AWS China (Ningxia) Region operated by NWCD (cn-northwest-1), process an image of 1MB in 1 seconds
+In AWS China (Ningxia) Region operated by NWCD (cn-northwest-1), process an image of 1MB in 1 second
 
 The cost of using this solution to process the image is shown below:
 

diff --git a/docs/en/revisions.md b/docs/en/revisions.md
@@ -3,4 +3,4 @@
 | September 2021 | **Release 1.0.0** <br> Support the following AI features: <ol><li>General OCR</li><li>Image Super Resolution</li><li>Pornography Detection</li><li>Human Image Segmentation</li></ol>                                                                                                                                                                                                                                                                                                                                                                                          |
 | June 2022      | **Release 1.2.0** <br>Updated the following AI features: <ol><li>Optimized General OCR</li><li>General OCR (Traditional Chinese)</li><li>Custom OCR</li><li>Image Similarity</li><li>Object Recognition</li><li>Face Detection</li><li>Face Comparison</li><li>Human Attribute Recognition</li><li>Car License Plate</li><li>Text Similarity</li></ol> Updated the solution architecture: <ol><li>Support OpenAPI specification and integrate API Explorer</li><li>AI model containerization</li><li>Upgrade CDK to 2.27.0</li><li>Support CloudFormation deployment</li></ol> |
 | December 2022  | **Release 1.3.0** <br>AI features update: <ol><li>All features support Amazon SageMaker architecture</li></ol> Updated the solution architecture: <ol><li>Support deployment of Amazon SageMaker-based architecture</li></ol>                                                                                                                                                                                                                                                                                                                                                  |
-| Auguest 2023   | **Release 1.4.0** <br>AI features update: <ol> <li>Add multilingual advanced optical character recognition (OCR) model.</li> <li>Add General natural language understanding model.</li> <li>Modify general text recognition to lightweight text recognition.</li> </ol>                                                                                                                                                                                                                                                                                                        |
+| Auguest 2023   | **Release 1.4.0** <br>AI features update: <ol> <li>Add multilingual advanced optical character recognition (OCR) model.</li> <li>Add general natural language understanding model.</li> <li>Modify general text recognition to lightweight text recognition.</li> </ol>                                                                                                                                                                                                                                                                                                        |
diff --git a/docs/zh-branded/cost.md b/docs/zh-branded/cost.md
@@ -1,6 +1,6 @@
 ## 成本预估
 
-您需要承担运行解决方案时使用亚马逊云科技各个服务的成本费用。截至2022年12月，影响解决方案的成本因素主要包括：
+您需要承担运行解决方案时使用亚马逊云科技各个服务的成本费用。截至这次发布的版本，影响解决方案的成本因素主要包括：
 
 - Amazon API Gateway调用次数
 - Amazon API Gateway数据输出量

diff --git a/docs/zh-branded/deploy-image-super-resolution.md b/docs/zh-branded/deploy-image-super-resolution.md
@@ -67,7 +67,7 @@ feature_scenario: 可应用于等多种场景，解决原始图片分辨率不
 
 ## 成本预估 
 
-您需要承担运行解决方案时使用亚马逊云科技各个服务的成本费用。截至2022年6月，影响解决方案的成本因素主要包括：
+您需要承担运行解决方案时使用亚马逊云科技各个服务的成本费用。截至这次发布的版本，影响解决方案的成本因素主要包括：
 
 - Amazon API Gateway调用次数
 - Amazon API Gateway数据输出量

diff --git a/docs/zh-branded/deploy-text-similarity.md b/docs/zh-branded/deploy-text-similarity.md
@@ -95,7 +95,7 @@ feature_scenario: 可应用于搜索引擎、推荐系统、机器翻译、自
 
 ## 成本预估
 
-您需要承担运行解决方案时使用亚马逊云科技各个服务的成本费用。截至2022年6月，影响解决方案的成本因素主要包括：
+您需要承担运行解决方案时使用亚马逊云科技各个服务的成本费用。截至这次发布的版本，影响解决方案的成本因素主要包括：
 
 - Amazon Lambda调用次数
 - Amazon Lambda运行时间

diff --git a/docs/zh-branded/include-deploy-cost-10GB.md b/docs/zh-branded/include-deploy-cost-10GB.md
@@ -1,6 +1,6 @@
 ## 成本预估
 
-您需要承担运行解决方案时使用亚马逊云科技各个服务的成本费用。截至2022年6月，影响解决方案的成本因素主要包括：
+您需要承担运行解决方案时使用亚马逊云科技各个服务的成本费用。截至这次发布的版本，影响解决方案的成本因素主要包括：
 
 - Amazon API Gateway调用次数
 - Amazon API Gateway数据输出量

diff --git a/docs/zh-branded/include-deploy-cost-8GB.md b/docs/zh-branded/include-deploy-cost-8GB.md
@@ -1,6 +1,6 @@
 ## 成本预估
 
-您需要承担运行解决方案时使用亚马逊云科技各个服务的成本费用。截至2022年6月，影响解决方案的成本因素主要包括：
+您需要承担运行解决方案时使用亚马逊云科技各个服务的成本费用。截至这次发布的版本，影响解决方案的成本因素主要包括：
 
 - Amazon API Gateway调用次数
 - Amazon API Gateway数据输出量

diff --git a/docs/zh/cost.md b/docs/zh/cost.md
@@ -1,6 +1,6 @@
 ## 成本预估
 
-您需要承担运行解决方案时使用亚马逊云科技各个服务的成本费用。截至2022年12月，影响解决方案的成本因素主要包括：
+您需要承担运行解决方案时使用亚马逊云科技各个服务的成本费用。截至这次发布的版本，影响解决方案的成本因素主要包括：
 
 - Amazon API Gateway调用次数
 - Amazon API Gateway数据输出量

diff --git a/docs/zh/deploy-general-nlu.md b/docs/zh/deploy-general-nlu.md
@@ -431,7 +431,7 @@ feature_scenario: 用于文本分类、情感分析、文本匹配和实体识
 
 ## 成本预估
 
-您需要承担运行解决方案时使用亚马逊云科技各个服务的成本费用。截至2022年6月，影响解决方案的成本因素主要包括：
+您需要承担运行解决方案时使用亚马逊云科技各个服务的成本费用。截至这次发布的版本，影响解决方案的成本因素主要包括：
 
 - AWS Lambda调用次数
 - AWS Lambda运行时间

diff --git a/docs/zh/deploy-image-super-resolution.md b/docs/zh/deploy-image-super-resolution.md
@@ -67,7 +67,7 @@ feature_scenario: 可应用于等多种场景，解决原始图片分辨率不
 
 ## 成本预估 
 
-您需要承担运行解决方案时使用亚马逊云科技各个服务的成本费用。截至2022年6月，影响解决方案的成本因素主要包括：
+您需要承担运行解决方案时使用亚马逊云科技各个服务的成本费用。截至这次发布的版本，影响解决方案的成本因素主要包括：
 
 - Amazon API Gateway调用次数
 - Amazon API Gateway数据输出量

diff --git a/docs/zh/deploy-text-similarity.md b/docs/zh/deploy-text-similarity.md
@@ -95,7 +95,7 @@ feature_scenario: 可应用于搜索引擎、推荐系统、机器翻译、自
 
 ## 成本预估
 
-您需要承担运行解决方案时使用亚马逊云科技各个服务的成本费用。截至2022年6月，影响解决方案的成本因素主要包括：
+您需要承担运行解决方案时使用亚马逊云科技各个服务的成本费用。截至这次发布的版本，影响解决方案的成本因素主要包括：
 
 - AWS Lambda调用次数
 - AWS Lambda运行时间

diff --git a/docs/zh/include-deploy-cost-10GB.md b/docs/zh/include-deploy-cost-10GB.md
@@ -1,6 +1,6 @@
 ## 成本预估
 
-您需要承担运行解决方案时使用亚马逊云科技各个服务的成本费用。截至2022年6月，影响解决方案的成本因素主要包括：
+您需要承担运行解决方案时使用亚马逊云科技各个服务的成本费用。截至这次发布的版本，影响解决方案的成本因素主要包括：
 
 - Amazon API Gateway调用次数
 - Amazon API Gateway数据输出量