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Reducing hallucinations in LLM agents with a verified semantic cache using Amazon Bedrock Knowledge Bases

AWS Machine Learning

Similar to how a customer service team maintains a bank of carefully crafted answers to frequently asked questions (FAQs), our solution first checks if a users question matches curated and verified responses before letting the LLM generate a new answer. Response paths: (Based on the 85% similarity score in step 1.c

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The Truth About Knowledge Overload: Why Speed Matters More Than Information in Customer Service

CCNG

In todays fast-paced world, customer service is all about speed. Customers dont care how much information you have they care about how fast you can solve their problem. When a customer is on hold or waiting for a response, time is critical. This leads to happier agents, which in turn leads to better customer service.

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Breaking Down Silos: The Key Role of Customer Service Leaders and Knowledge Management in Driving Success

CCNG

Siloed decision-making is driving up costs and damaging the customer experience. When customer service, IT, and marketing operate independently, inefficiencies grow, progress stalls, and customer interactions suffer. Customer service leaders must be included in strategic decisions to break down silos.

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Evaluating RAG applications with Amazon Bedrock knowledge base evaluation

AWS Machine Learning

Amazon Bedrock has recently launched two new capabilities to address these evaluation challenges: LLM-as-a-judge (LLMaaJ) under Amazon Bedrock Evaluations and a brand new RAG evaluation tool for Amazon Bedrock Knowledge Bases.

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6 Killer Applications for Artificial Intelligence in the Customer Engagement Contact Center

If Artificial Intelligence for businesses is a red-hot topic in C-suites, AI for customer engagement and contact center customer service is white hot. This white paper covers specific areas in this domain that offer potential for transformational ROI, and a fast, zero-risk way to innovate with AI.

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10 Best Knowledge Base Solutions for Customer Service

CSM Magazine

A robust knowledge base can empower your customers to find solutions on their own, reducing support requests and enhancing overall user experience. Here are ten of the best knowledge base software solutions designed to elevate your customer service: 1.

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Amazon Q Business simplifies integration of enterprise knowledge bases at scale

AWS Machine Learning

In this post, we propose an end-to-end solution using Amazon Q Business to simplify integration of enterprise knowledge bases at scale. By tracking failed jobs, potential data loss or corruption can be mitigated, maintaining the reliability and completeness of the knowledge base.