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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.

APIs 117
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How Untold Studios empowers artists with an AI assistant built on Amazon Bedrock

AWS Machine Learning

Slack already provides applications for workstations and phones, message threads for complex queries, emoji reactions for feedback, and file sharing capabilities. The implementation uses Slacks event subscription API to process incoming messages and Slacks Web API to send responses. The following screenshot shows an example.

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Alida gains deeper understanding of customer feedback with Amazon Bedrock

AWS Machine Learning

Alida helps the world’s biggest brands create highly engaged research communities to gather feedback that fuels better customer experiences and product innovation. Open-ended survey questions allow responders to provide context and unanticipated feedback. Programmatically using the Amazon Bedrock API and SDKs.

Feedback 132
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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 Veritone uses Amazon Bedrock, Amazon Rekognition, Amazon Transcribe, and information retrieval to update their video search pipeline

AWS Machine Learning

Growing in the media and entertainment space, Veritone solves media management, broadcast content, and ad tracking issues. You can view the results and provide feedback by voting for the winning setting. Amazon Transcribe The transcription for the entire video is generated using the StartTranscriptionJob API.

APIs 134
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Use RAG for drug discovery with Knowledge Bases for Amazon Bedrock

AWS Machine Learning

The Retrieve and RetrieveAndGenerate APIs allow your applications to directly query the index using a unified and standard syntax without having to learn separate APIs for each different vector database, reducing the need to write custom index queries against your vector store.

APIs 136