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Reduce conversational AI response time through inference at the edge with AWS Local Zones

AWS Machine Learning Blog

Recent advances in generative AI have led to the proliferation of new generation of conversational AI assistants powered by foundation models (FMs). These latency-sensitive applications enable real-time text and voice interactions, responding naturally to human conversations. Disable the Local Zones.

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Evaluate conversational AI agents with Amazon Bedrock

AWS Machine Learning Blog

As conversational artificial intelligence (AI) agents gain traction across industries, providing reliability and consistency is crucial for delivering seamless and trustworthy user experiences. However, the dynamic and conversational nature of these interactions makes traditional testing and evaluation methods challenging.

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Enabling generative AI self-service using Amazon Lex, Amazon Bedrock, and ServiceNow

AWS Machine Learning Blog

Responsible AI using Guardrails for Amazon Bedrock Conversational AI applications require robust guardrails to safeguard sensitive user data, adhere to privacy regulations, enforce ethical principles, and mitigate hallucinations, fostering responsible development and deployment. Delete the CloudFormation stack you created.

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Seven customer service types that organizations should provide

IBM Journey to AI blog

Read the blog: How generative AI is transforming customer service Customer service types that organizations should prioritize By offering different types of customer service and several customer support channels, organizations demonstrate they are investing in customer care.

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Top 5 Generative AI Integration Companies to drive Customer Support in 2023

Chatbots Life

Top 5 Generative AI Integration Companies to Drive Customer Support in 2023 If you’ve been following the buzz around ChatGPT, OpenAI, and generative AI, it’s likely that you’re interested in finding the best Generative AI integration provider for your business.

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The most valuable AI use cases for business

IBM Journey to AI blog

Here are 27 highly productive ways that AI use cases can help businesses improve their bottom line. Customer-facing AI use cases Deliver superior customer service Customers can now be assisted in real time with conversational AI. Routine questions from staff can be quickly answered using AI.

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Exploring Generative AI in conversational experiences: An Introduction with Amazon Lex, Langchain, and SageMaker Jumpstart

AWS Machine Learning Blog

However, businesses can meet this challenge while providing personalized and efficient customer service with the advancements in generative artificial intelligence (generative AI) powered by large language models (LLMs). Generative AI chatbots have gained notoriety for their ability to imitate human intellect.