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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. Save your configuration.

Chatbots 106
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How Much Does it Cost to Make a Chatbot that Actually Works?

Creative Virtual

Ask any seller of a highly complex and customizable chatbot or virtual agent system about cost and you’re likely to get an evasive answer. Increasingly, in this ever-saturating market, it’s easy to find elements of chatbot pricing (i.e., The truth is, building a successful chatbot is not purely a question of technology.

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Improve LLM application robustness with Amazon Bedrock Guardrails and Amazon Bedrock Agents

AWS Machine Learning

These agentic workflows decompose the natural language query-based tasks into multiple actionable steps with iterative feedback loops and self-reflection to produce the final result using tools and APIs. Solution overview In this post, we explore a sample use case for an online retail chatbot.

APIs 123
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Building AI chatbots using Amazon Lex and Amazon Kendra for filtering query results based on user context

AWS Machine Learning

When the user signs in to an Amazon Lex chatbot, user context information can be derived from Amazon Cognito. The Amazon Lex chatbot can be integrated into Amazon Kendra using a direct integration or via an AWS Lambda function. The use of the AWS Lambda function will provide you with fine-grained control of the Amazon Kendra API calls.

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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. GPT-NeoXT-Chat-Base-20B is designed for use in chatbot applications and may not perform well for other use cases outside of its intended scope. In addition to the aforementioned fine-tuning, GPT-NeoXT-Chat-Base-20B-v0.16

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The Benefits of CXP 20

Aspect

Although most chatbots and virtual assistants are still text-based, AI-enabled speech-to-text and text-to-speech hosted services are improving rapidly. Our innovative customers can now leverage Google with the help of our Prophecy media browser the Google STT (automatic speech recognition tool) and text-to-speech APIs.

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10 Must Haves for Cloud-Based Customer Engagement Platforms

Aspect

A modern IVR experience can offer a more “human” self-service experience, while digital Self-Service omni-channel experiences like automated chat, SMS, leverage the latest generation of natural language understanding technologies and chatbot capabilities. Comprehensive Workforce Optimization.

APIs 107