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GPT-NeoXT-Chat-Base-20B foundation model for chatbot applications is now available on Amazon SageMaker

AWS Machine Learning

This demonstration provides an open-source foundation model chatbot for use within your application. As a JumpStart model hub customer, you get improved performance without having to maintain the model script outside of the SageMaker SDK. The inference script is prepacked with the model artifact.

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7 Examples of Bad Customer Service Experience (And How to Fix Them)

REVE Chat Blog

An example of poor customer service not only worsens the existing customer relationships but also endangers the potential opportunities, and obviously erodes the bottom line of your business. Overuse of scripts to respond to customers. Top reasons for bad customer service examples (and how to fix them).

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Build generative AI agents with Amazon Bedrock, Amazon DynamoDB, Amazon Kendra, Amazon Lex, and LangChain

AWS Machine Learning

The web channel includes an Amplify hosted website with an Amazon Lex embedded chatbot for a fictitious customer. The Lambda function associated with the Amazon Lex chatbot contains the logic and business rules required to process the user’s intent. By exposing the model to these examples, it learns to respond in a similar manner.

Scripts 124
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Pushing the Limits of Conversational AI for CX Automation

TechSee

Industry events and news coverage are full of companies offering Generative AI , Conversational AI, chatbots, and AI Agents. Understanding Conversational AI Conversational AI refers to technologies that users interact with through a natural, conversational interface, like chatbots or virtual agents.

Chatbots 124
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Pushing the Limits of Conversational AI for CX Automation

TechSee

Industry events and news coverage are full of companies offering Generative AI , Conversational AI , chatbots, and AI Agents. Understanding Conversational AI Conversational AI refers to technologies that users interact with through a natural, conversational interface, like chatbots or virtual agents.

Chatbots 109
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Elevating the generative AI experience: Introducing streaming support in Amazon SageMaker hosting

AWS Machine Learning

Now you can continuously stream inference responses back to the client when using SageMaker real-time inference to help you build interactive experiences for generative AI applications such as chatbots, virtual assistants, and music generators. We use Streamlit for the sample demo application UI.

APIs 119
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Build a custom UI for Amazon Q Business

AWS Machine Learning

The workflow includes the following steps: The user accesses the chatbot application, which is hosted behind an Application Load Balancer. For instructions, refer to How do I integrate IAM Identity Center with an Amazon Cognito user pool and the associated demo video. You can also find the script on the GitHub repo.

APIs 136