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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. Those confident but nonsensical explanations are even more prevalent when LLMs are trained using Reinforcement Learning from Human Feedback (RLHF), where reward hacking may occur.

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Hyper Efficiency: The Next Frontier in Contact Center Operations Management

NobelBiz

The customer satisfaction score aims to get feedback on specific topics such as products or services, quality of interactions with call center agents or after-sales support, purchase procedures, customer experience impression, etc. A well-calibrated IVR system is the cornerstone for intelligent contact center automation.

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Moving from a Services-Based to a Core Customer Success Organization

ChurnZero

The types of services can be one time (for e.g. implementation, training, workshop) or can be ongoing (for e.g. ongoing training program, technical support services). Start scheduling conversations with your most happy/green customers, and introduce the new model and perfect the pitch and get feedback from them on the new model.

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Call Center Dialer Software: Optimization Best Practices

NobelBiz

Contact centers play a vital role in today’s business landscape, serving as a primary point of contact for customers to resolve issues, make inquiries, or provide feedback. We’ll share valuable insights from one of our workshops featuring two seasoned contact center experts, David Atkinson, and Bradley Butler.