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7 Reasons ChatGPT Alone Can’t Deliver the Customer Service You Need

CCNG

Given that integrations and extensibility are basic prerequisites to taking any kind of action, it means ChatGPT can only serve as entertainment or perhaps write your college essay. Unclear ROI ChatGPT is currently not accessible via API and the cost of a (hypythetical) API call are unclear.

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Implement human-in-the-loop confirmation with Amazon Bedrock Agents

AWS Machine Learning

In addition, they use the developer-provided instruction to create an orchestration plan and then carry out the plan by invoking company APIs and accessing knowledge bases using Retrieval Augmented Generation (RAG) to provide an answer to the users request. This differs from confirmation flows where the agent directly executes API calls.

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Transcribe, translate, and summarize live streams in your browser with AWS AI and generative AI services

AWS Machine Learning

From gaming and entertainment to education and corporate events, live streams have become a powerful medium for real-time engagement and content consumption. Interactions with Amazon Bedrock are handled by a Lambda function, which implements the application logic underlying an API made available using API Gateway.

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Build a video insights and summarization engine using generative AI with Amazon Bedrock

AWS Machine Learning

To enable the video insights solution, the architecture uses a combination of AWS services, including the following: Amazon API Gateway is a fully managed service that makes it straightforward for developers to create, publish, maintain, monitor, and secure APIs at scale.

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Centralize model governance with SageMaker Model Registry Resource Access Manager sharing

AWS Machine Learning

Customers can use the SageMaker Studio UI or APIs to specify the SageMaker Model Registry model to be shared and grant access to specific AWS accounts or to everyone in the organization. We will start by using the SageMaker Studio UI and then by using APIs.

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How Untold Studios empowers artists with an AI assistant built on Amazon Bedrock

AWS Machine Learning

The implementation uses Slacks event subscription API to process incoming messages and Slacks Web API to send responses. The incoming event from Slack is sent to an endpoint in API Gateway, and Slack expects a response in less than 3 seconds, otherwise the request fails. He has been helping customers at AWS for the past 4.5

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Generate user-personalized communication with Amazon Personalize and Amazon Bedrock

AWS Machine Learning

You can get started without any prior machine learning (ML) experience, and Amazon Personalize allows you to use APIs to build sophisticated personalization capabilities. After the model is trained, you can get the top recommended movies for each user by querying the recommender with each user ID through the Amazon Personalize Runtime API.