Remove Accountability Remove Analysis Remove APIs Remove Chatbots
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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.

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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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Modernizing data science lifecycle management with AWS and Wipro

AWS Machine Learning

Wipro has used the input filter and join functionality of SageMaker batch transformation API. The response is returned to Lambda and sent back to the application through API Gateway. Use QuickSight refresh dataset APIs to automate the spice data refresh. Implement group-based security for dashboard and analysis access control.

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Build a powerful question answering bot with Amazon SageMaker, Amazon OpenSearch Service, Streamlit, and LangChain

AWS Machine Learning

Amazon Lex provides the framework for building AI based chatbots. We implement the RAG functionality inside an AWS Lambda function with Amazon API Gateway to handle routing all requests to the Lambda. The Streamlit application invokes the API Gateway endpoint REST API. The API Gateway invokes the Lambda function.

APIs 76
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Generative AI and multi-modal agents in AWS: The key to unlocking new value in financial markets

AWS Machine Learning

Technical challenges with multi-modal data further include the complexity of integrating and modeling different data types, the difficulty of combining data from multiple modalities (text, images, audio, video), and the need for advanced computer science skills and sophisticated analysis tools.

Marketing 100
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How to reframe the banking experience: Defining the new norm for banking contact centers

Talkdesk

About 44% of those borrowers said they would move at least some of their accounts to the bank that came through for them during PPP. Through the use of APIs, an entire ecosystem of pre-vetted banks and third-party providers is integrated, allowing a company to serve its customer base better and faster. The rise of the mobile agent.

Banking 114
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Key Remote Support Capability Features To Check Off Your List When Selecting A Visual Engagement Provider

TechSee

Below are a few common examples: A customer interacting with a chatbot may have trouble communicating technical information. Over time, customization and further API integrations will enable more robust, integrated capabilities, expanding the impact and potential of the solution. Platform vs Point Solution. In Closing.

APIs 109