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Ground truth curation and metric interpretation best practices for evaluating generative AI question answering using FMEval

AWS Machine Learning

This post focuses on evaluating and interpreting metrics using FMEval for question answering in a generative AI application. FMEval is a comprehensive evaluation suite from Amazon SageMaker Clarify , providing standardized implementations of metrics to assess quality and responsibility. Question Answer Fact Who is Andrew R.

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

AWS Machine Learning

This two-part series explores best practices for building generative AI applications using Amazon Bedrock Agents. It’s also a best practice to collect any extra information that would be shared with the agent in a production system. Implement citation mechanisms to reference source documents in responses.

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International Contact Centre Operations Tips & Best Practices

Callminer

Use of recorded calls where similar issues were handled adeptly are particularly effective here.” – 5 Call Center Training Best Practices , CallMiner; Twitter: @CallMiner. They are an easy way to track metrics and discover trends within your agents. Offer rewards for great performance. This is short-sighted.

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Best practices and lessons for fine-tuning Anthropic’s Claude 3 Haiku on Amazon Bedrock

AWS Machine Learning

In this post, we explore the best practices and lessons learned for fine-tuning Anthropic’s Claude 3 Haiku on Amazon Bedrock. We also provide insights on how to achieve optimal results for different dataset sizes and use cases, backed by experimental data and performance metrics.

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Customize Amazon Textract with business-specific documents using Custom Queries

AWS Machine Learning

Amazon Textract is a machine learning (ML) service that automatically extracts text, handwriting, and data from scanned documents. Queries is a feature that enables you to extract specific pieces of information from varying, complex documents using natural language.

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Best Practices of Great Coaches

The Northridge Group

Frontline excellence training instructs managers in the following best practices of great coaches : Providing dedicated coaching with role modeling for the supervisors. While improving overall metrics is the end goal, coaching to metrics seldom brings sustainable results. Achieving Frontline Excellence.

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2020 Call Center Metrics: 6 Key Metrics for Your Call Center Dashboard

Callminer

At the heart of most technological optimizations implemented within a successful call center are fine-tuned metrics. Keeping tabs on the right metrics can make consistent improvement notably simpler over the long term. However, not all metrics make sense for a growing call center to monitor. Peak Hour Traffic.