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Improve multi-hop reasoning in LLMs by learning from rich human feedback

AWS Machine Learning

In this post, we show how to incorporate human feedback on the incorrect reasoning chains for multi-hop reasoning to improve performance on these tasks. Solution overview With the onset of large language models, the field has seen tremendous progress on various natural language processing (NLP) benchmarks.

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How to Improve Customer Experience: A Step by Step Guide

Lumoa

Customer experience management brings discipline to this somewhat vague and soft area: by establishing a systematic process for collecting, analyzing, and acting on customer feedback, you’ll be able to improve customer experience altogether. Leaders in a variety of business industries use NPS , which makes NPS a great benchmarking tool.

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Top 3 SaaStr Build Sessions to Watch On-Demand for Customer Success

ChurnZero

Delta Testing for Growth: How to Use Customer Feedback for Continuous Product Improvement with Centercode and Peleton. Luke Frelier, CEO at Centercode knows the importance of customer feedback. The 5 Metrics and Benchmarks You Should Track to Maximize Your Company’s Valuation with Redpoint Ventures .

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The Ultimate Guide to Call Center Training

Fonolo

Include workshops and group activities as much as possible! As part of your formal training plan, schedule time to send staff to conventions, classes, and workshops. Here are some key ways to integrate customer profiles into your agent training plan: Make agent feedback a priority. Foster empathy with the customer.

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Customer Experience Map Vs. Customer Journey Map: Diving Deep into the Intricacies

NobelBiz

Social media engagement for customer feedback. Encouraging post-call surveys to gather feedback. It’s also about staying agile, and ready to adapt based on real-time feedback. Gather Data Use surveys, feedback, analytics, and other tools to collect data on customer interactions. Agent-assisted support via phone.

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The power of positive reinforcement: 13 customer wins worth celebrating

ChurnZero

This can also help you gather product feedback. Industry and product benchmark achievements: Customers want to know what other customers who share the same attributes are doing and how they stack up against them. Training course completion: Celebrate customers who show initiative by enrolling in a course, webinar, or workshop.

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Best practices for building robust generative AI applications with Amazon Bedrock Agents – Part 1

AWS Machine Learning

Laying the groundwork: Collecting ground truth data The foundation of any successful agent is high-quality ground truth data—the accurate, real-world observations used as reference for benchmarks and evaluating the performance of a model, algorithm, or system. For examples to get started, check out the Amazon Bedrock Agents GitHub repository.