Remove tags city
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Knowledge Bases for Amazon Bedrock now supports metadata filtering to improve retrieval accuracy

AWS Machine Learning

However, in many situations, you may need to retrieve documents created in a defined period or tagged with certain categories. In the recently released feature for Knowledge Bases for Amazon Bedrock, hybrid search , you can combine semantic search with keyword search. Metadata can be string, number, or Boolean. Virginia) and US West (Oregon).

APIs 101
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Manage your Amazon Lex bot via AWS CloudFormation templates

AWS Machine Learning

MaxRetries: 2 AllowInterrupt: false - Name: "CheckInDate" Description: "Date of check-in" SlotTypeName: "AMAZON.Date" ValueElicitationSetting: SlotConstraint: "Required" PromptSpecification: MessageGroupsList: - Message: PlainTextMessage: Value: "What day do you want to check in?"

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How BigBasket improved AI-enabled checkout at their physical stores using Amazon SageMaker

AWS Machine Learning

They offer a large assortment of over 50,000 products across 1,000 brands, and are operating in more than 500 cities and towns. At the time of writing this post, BigBasket has been running the complete solution in production for more than 6 months and scaling the system by catering to new cities, and we’re adding new stores every month.

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15 Instagram Post Ideas For Business

JivoChat

Describe the item benefits in the caption, and add a tag in the image where the person can click and go directly to your store. . If you sell clothes, makeup, shoes, or accessories, for example, you can create a campaign motivating customers to tag your profile when they use one of your products. Source: Nike Instagram.

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How Computer Vision Applications are Changing the World

TechSee

As Deep Learning algorithms evolve, they are largely replacing the manual tagging process through an approach known as the crowdsourcing of expertise – the automatic real-time collection and tagging of data generated by professionals as they go about their everyday work. The revolution is well underway. airports.

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Amazon Comprehend announces lower annotation limits for custom entity recognition

AWS Machine Learning

For our experiments, we focused on a subset of entity types from the SNIPS dataset: BookRestaurant – Entity types: spatial_relation , poi , party_size_number , restaurant_name , city , timeRange , restaurant_type , served_dish , party_size_description , country , facility , state , sort , cuisine.

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The Modern Traveler Takes Off: 4 Examples of Travel Companies Taking Steps to Enhance the Travel CX

Netomi

Mitigating the hassle of navigating through airport terminal mazes, Clear Premium takes travelers all the way from TSA checkpoints, luggage tagging and through to the departure gate. Perhaps a guest is traveling to Jamaica for her upcoming nuptials, wedding dress in tow.