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Deploy self-service question answering with the QnABot on AWS solution powered by Amazon Lex with Amazon Kendra and large language models

AWS Machine Learning

Powered by Amazon Lex , the QnABot on AWS solution is an open-source, multi-channel, multi-language conversational chatbot. This includes automatically generating accurate answers from existing company documents and knowledge bases, and making their self-service chatbots more conversational. Search string: "Is it fast?

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Falcon 2 11B is now available on Amazon SageMaker JumpStart

AWS Machine Learning

Falcon 2 11B is a raw, pre-trained model, which can be a foundation for more specialized tasks, and also allows you to fine-tune the model for specific use cases such as summarization, text generation, chatbots, and more. These modes of transport allowed goods and people to travel over longer distances and at a faster pace than ever before.

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11 Best AI Chatbots for Sales and Support in 2021

JivoChat

And 40% of consumers don’t care whether it’s a chatbot or a person providing customer service. So why not delegate some of your customer service tasks to chatbots and free up valuable time for your live agents? But there’s another option: Chatbots with artificial intelligence (AI). What is an AI Chatbot?

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Misconceptions About Communication Platform as a Service (CPaaS)

ConvergeOne

At its most basic level, CPaaS is simply an API-based model for accessing carrier services and the media processing resources associated with those carrier services. They were able to transport the voice using regular IP-based data networks, like those found in the enterprise AND on the Internet. APIs are like Legos.

APIs 59
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Customer Service and the Voice of Your Customers and Team

Creative Virtual

So, if you have, for example, a chatbot on your website, users can use the voice capabilities of their mobile device to ask their question. The Virtual Agent for Transport for NSW uses Alexa to let the user know if there are any issues on their commute at that time. You don’t have to consider anything.

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Generative AI and multi-modal agents in AWS: The key to unlocking new value in financial markets

AWS Machine Learning

The steps involved are as follows: The financial analyst poses questions via a platform such as chatbots. Large language models – The large language models (LLMs) are available via Amazon Bedrock, SageMaker JumpStart, or an API. Justification: Quote 1: "We're seeing inflationary pressures, especially in fuel and transportation costs."

Marketing 132
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Advanced RAG patterns on Amazon SageMaker

AWS Machine Learning

medium instance to demonstrate deploying LLMs via SageMaker JumpStart, which can be accessed through a SageMaker-generated API endpoint. You can request service quota increases through the console, AWS Command Line Interface (AWS CLI), or API to allow access to those additional resources. We use an ml.t3.medium