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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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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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The power of positive reinforcement: 13 customer wins worth celebrating

ChurnZero

This can also help you gather product feedback. For example, commend customers for heavily using a certain feature over the last 30 days. 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. What do you think so far?”

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Integrate HyperPod clusters with Active Directory for seamless multi-user login

AWS Machine Learning

For more details on how to create HyperPod clusters, refer to Getting started with SageMaker HyperPod and the HyperPod workshop. Create a VPC, subnets, and a security group Follow the instructions in the Own Account section of the HyperPod workshop. ssh/config using the following example. Choose Next. Choose Next.

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Improving your LLMs with RLHF on Amazon SageMaker

AWS Machine Learning

Reinforcement Learning from Human Feedback (RLHF) is recognized as the industry standard technique for ensuring large language models (LLMs) produce content that is truthful, harmless, and helpful. Reward models and reinforcement learning are applied iteratively with human-in-the-loop feedback. configs/accelerate/zero2-bf16.yaml

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How to Use the CSAT Metric in Your CX Program

GetFeedback

Invite them into the feedback loop by sharing the complaints and comments they hear from customers. For more on collecting and taking action on customer feedback, check out our free Voice of the Customer (VoC) guide. See the example below. You can ask customers to provide feedback on their satisfaction along their journey.

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Nurturing Success: A Guide on Performance Evaluation and Recognition for Independent Real Estate Agents

JustCall

It ensures alignment on long-term vision and serves as a benchmark for brokerages to measure agent performance against. For example, compare this: (Good goal) Increase the number of closed deals by 15% within the next quarter. This helps drive agent success and also fosters a collaborative and transparent work environment.