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InterVision accelerates AI development using AWS LLM League and Amazon SageMaker AI

AWS Machine Learning

As AWS LLM League events began rolling out in North America, this initiative represented a strategic milestone in democratizing machine learning (ML) and enabling partners to build practical generative AI solutions for their customers. This allows you to benchmark your models performance and identify areas for further improvement.

Benchmark 108
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LLM-as-a-judge on Amazon Bedrock Model Evaluation

AWS Machine Learning

This approach allows organizations to assess their AI models effectiveness using pre-defined metrics, making sure that the technology aligns with their specific needs and objectives. referenceResponse (used for specific metrics with ground truth) : This key contains the ground truth or correct response.

Metrics 105
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Anthropic Claude 3.5 Sonnet ranks number 1 for business and finance in S&P AI Benchmarks by Kensho

AWS Machine Learning

Sonnet currently ranks at the top of S&P AI Benchmarks by Kensho , which assesses large language models (LLMs) for finance and business. For example, there could be leakage of benchmark datasets’ questions and answers into training data. Anthropic Claude 3.5 Kensho is the AI Innovation Hub for S&P Global. Anthropic Claude 3.5

Finance 124
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Key Learning from 15 Years of Net Promoter Stats

Beyond Philosophy

It has become a standard metric used to determine if your Customer Service and Experience improvements are effective. In their 15th annual Net Promoter Benchmark Study, he gave a great presentation of some really interesting stats on NPS. the higher the score, the greater the likelihood they will recommend).

Banking 383
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Elevate customer experience by using the Amazon Q Business custom plugin for New Relic AI

AWS Machine Learning

The risk and impact of outages increase during peak usage periods, which vary by industry—from ecommerce sales events to financial quarter-ends or major product launches. It examines service performance metrics, forecasts of key indicators like error rates, error patterns and anomalies, security alerts, and overall system status and health.

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Making Sense of Customer Experience Metrics

PeopleMetrics

Online surveys can capture feedback from customers in real-time and tie it to a specific event. It's easier to sell a metric to leadership if other high-performing institutions are using it. Adopting an industry standard means you can get agreement quickly, and it also makes it easy to benchmark your own bank against others.

Metrics 87
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What is Call Center Forecasting and How Can You Use It

NobelBiz

Call centers predict future call volumes and other metrics so demand can be better met and good service levels can be maintained with optimized resources. Service Level Targets Service levels are benchmarks that determine the quality of customer interactions. This article will discuss why forecasting is vital these days.