Amazon Technologies, Inc.

Vinayshekhar Bannihatti Kumar

Rashmi Gangadharaiah

Deepak Seetharam Nadig

James Horsley

Ankit Kapoor

Sopan Khosla

Sonia Ramnani

Narjessadat Seyeditabari

Fayun Luo

Logan Douglas

Grace Kitzmiller

Abhijit S Barde

Brijesh Luckria

Fawad Abbas

Bhaskar Hosahalli Rangaswamy

Michael W Miller

Systems and methods are provided for a natural language question answering service to provide answers to natural language questions regarding network-based services or computing domains. The natural language question answering service may receive the natural language question from a customer computing device. An aggregator of the natural language question answering service can retrieve passages from search systems based on the question and generate a prompt. A large language model (LLM) of the natural language question answering service may receive the prompt and provide an answer. The answer may be verified by a verifier of the natural language question answering service. Attribution may be applied to the answers and retrieved passages to produce references, inline citations, and similar questions. A watermarking module of the natural language question answering service may watermark the answer if it is verified.

Processing natural language queries with verification and watermarking

Processing natural language queries for network-based services

The present disclosure relates to systems and methods for providing a network-based service infrastructure configuration for a plurality of network-based services. A configuration service may identify one or more network-based services based on identifying the customer's profile and grouping the customer with other customers having a similar profile. After grouping the customer input, the configuration service may automatically provide network infrastructure configuration templates. The configuration service may identify and verify attributes required by each identified service and its associated property values. The configuration service may configure the infrastructure configuration by selecting a template from the plurality of templates stored in a datastore.

System for configuring network based services based on customer profile

Clusters of users of networked services are defined based on tasks performed by such users during such networked services. Activities of the users during sessions of the networked services are tracked, and representations of such users or such activities are used to train a model to predict activities of users in the future, including but not limited to services utilized by such users, or pages visited by such users. Subsequently, when a user accesses a networked service during a session, activities of the user may be determined, and a representation of the session is provided as an input to the model, along with contextual information such as an identifier of the persona of the user. A next action, e.g., a service or a page utilized by the user, may be predicted based on outputs received from the model.

Predicting next actions by users of networked services

Generating personas of users of networked services based on activities

The present disclosure relates to systems and methods for providing a network-based service infrastructure configuration for a plurality of network-based services. A configuration service may identify one or more network-based services and actions required for the services based on analyzing customer input. After processing the customer input, the configuration service may automatically configure the infrastructure configuration based on analyzing the customer input. The configuration service may identify and verify attributes required by each identified service and its associated property values. The configuration service may configure the infrastructure configuration by selecting a template from the plurality of templates stored in a datastore.

System for configuring network based services

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Santa Clara, CA, United States of America

Vinayshekhar Bannihatti Kumar