Remove communications-apis services
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Provide live agent assistance for your chatbot users with Amazon Lex and Talkdesk cloud contact center

AWS Machine Learning

Amazon Lex provides advanced conversational artificial intelligence (AI) capabilities to enable self-service support for your organization’s contact center. The bots can answer FAQs, provide self-service experiences, or triage customer requests before transferring to a human agent.

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Use AWS PrivateLink to set up private access to Amazon Bedrock

AWS Machine Learning

Amazon Bedrock is a fully managed service provided by AWS that offers developers access to foundation models (FMs) and the tools to customize them for specific applications. It allows developers to build and scale generative AI applications using FMs through an API, without managing infrastructure.

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Adopting CX Innovation: How to Overcome the Challenge

TechSee

In today’s fast-evolving service landscape, companies are continuously innovating to improve customer experience (CX). For CX enhancements to truly impact your business, they must be readily adopted by both customers and service agents. Customers receive a simple SMS – a method of communication that everyone has.

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ChatGPT – is it the answer to customer service?

CCNG

ChatGPT is a possible future communication channel with customers. ChatGPT does not think, and this makes it unreliable for Customer Service Environment. In Summary The technology used to communicate with your customers is continually evolving and new communication channels are being introduced all the time.

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WhatsApp Business for Teams: How To Get Started

JustCall

This blog post will guide you through the process of getting started with WhatsApp Business for Teams and help you leverage its capabilities to enhance your business communication. What is the WhatsApp Business API for teams? This is an option in WhatsApp Business API only, as the WhatsApp Business App doesn’t support multiple users.

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Common Challenges in Automated API Testing: Overcoming Obstacles with Expert Solutions

CSM Magazine

Automated API testing stands as a cornerstone in the modern software development cycle, ensuring that applications perform consistently and accurately across diverse systems and technologies. Continuous learning and adaptation are essential, as the landscape of API technology is ever-evolving.

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Amazon SageMaker model parallel library now accelerates PyTorch FSDP workloads by up to 20%

AWS Machine Learning

In particular, we cover the SMP library’s new simplified user experience that builds on open source PyTorch Fully Sharded Data Parallel (FSDP) APIs, expanded tensor parallel functionality that enables training models with hundreds of billions of parameters, and performance optimizations that reduce model training time and cost by up to 20%.

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