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Achieve multi-Region resiliency for your conversational AI chatbots with Amazon Lex

AWS Machine Learning

In the event of a Regional outage or disruption, you can swiftly redirect your bot traffic to a different Region. These include interactive voice response (IVR) systems, chatbots for digital channels, and messaging platforms, providing a seamless and resilient customer experience. These are supported in the AWS CLI and AWS SDKs.

Chatbots 101
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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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AI in Customer Service: Chatbots and ChatGPT are just the Start

TechSee

While initial conversations now focus on improving chatbots with large language models (LLMs) like ChatGPT, this is just the start of what AI can and will offer. Similarly, AI easily scales up and down to meet changing demands, eliminating long wait times and poor CX during mass service events or seasons.

Chatbots 202
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Implement RAG while meeting data residency requirements using AWS hybrid and edge services

AWS Machine Learning

Chatbot application On a second EC2 instance (C5 family), deploy the following two components: a backend service responsible for ingesting prompts and proxying the requests back to the LLM running on the Outpost, and a simple React application that allows users to prompt a local generative AI chatbot with questions.

APIs 92
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Automate chatbot for document and data retrieval using Agents and Knowledge Bases for Amazon Bedrock

AWS Machine Learning

Numerous customers face challenges in managing diverse data sources and seek a chatbot solution capable of orchestrating these sources to offer comprehensive answers. This post presents a solution for developing a chatbot capable of answering queries from both documentation and databases, with straightforward deployment.

Chatbots 125
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Integrate dynamic web content in your generative AI application using a web search API and Amazon Bedrock Agents

AWS Machine Learning

Amazon Bedrock agents use LLMs to break down tasks, interact dynamically with users, run actions through API calls, and augment knowledge using Amazon Bedrock Knowledge Bases. In this post, we demonstrate how to use Amazon Bedrock Agents with a web search API to integrate dynamic web content in your generative AI application.

APIs 104
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Expedite your Genesys Cloud Amazon Lex bot design with the Amazon Lex automated chatbot designer

AWS Machine Learning

Some examples include a customer calling to check on the status of an order and receiving an update from a bot, or a customer needing to submit a renewal for a license and the chatbot collecting the necessary information, which it hands over to an agent for processing.

Chatbots 118