Remove 2012 Remove APIs Remove Chatbots
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Build a serverless voice-based contextual chatbot for people with disabilities using Amazon Bedrock

AWS Machine Learning

Specifically, we focus on chatbots. Chatbots are no longer a niche technology. Although AI chatbots have been around for years, recent advances of large language models (LLMs) like generative AI have enabled more natural conversations. We also provide a sample chatbot application. We discuss this later in the post.

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Integrate QnABot on AWS with ServiceNow

AWS Machine Learning

Conversational AI (or chatbots) can help triage some of these common IT problems and create a ticket for the tasks when human assistance is needed. Chatbots quickly resolve common business issues, improve employee experiences, and free up agents’ time to handle more complex problems.

Chatbots 128
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Dive deep into vector data stores using Amazon Bedrock Knowledge Bases

AWS Machine Learning

The workflow consists of the following steps: Either a user through a chatbot UI or an automated process issues a prompt and requests a response from the LLM-based application. The agent returns the LLM response to the chatbot UI or the automated process. The LLM response is passed back to the agent.

APIs 102
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Manage your Amazon Lex bot via AWS CloudFormation templates

AWS Machine Learning

It employs advanced deep learning technologies to understand user input, enabling developers to create chatbots, virtual assistants, and other applications that can interact with users in natural language. Add a Lambda function To initialize values or validate user input for your bot, you can add a Lambda function as a code hook to your bot.

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What CTOs Should Know Before Implementing Conversational AI in the Contact Center

SmartAction

It linked via API to internal data sources and current customer input to find a successful solution. We’ve been PCI DSS Level 1, the highest level of compliance, since 2012. This makes it particularly important to ensure proper training of your chatbot and IVR so it can handle a wide variety of queries and tasks.

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Access control for vector stores using metadata filtering with Knowledge Bases for Amazon Bedrock

AWS Machine Learning

Here are a few examples and use cases across different domains: A company uses a chatbot to help HR personnel navigate employee files. Alternatively, you can create a knowledge base using the AWS SDK, API, or AWS CloudFormation template, which provides programmatic and automated ways to set up and manage your knowledge bases.

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Brevo (Formely Sendinblue): Features and Services

JivoChat

Brevo Overview In 2012, Sendinblue was launched as a newsletter service, along the years the company has expanded its service considerably, which led to the name change, as well, Brevo. Brevo’s API guarantees your email will be delivered at the right time for the right people. And, that’s what this tool is for.

APIs 75