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Benchmarking Amazon Nova and GPT-4o models with FloTorch

AWS Machine Learning

Using its enterprise software, FloTorch conducted an extensive comparison between Amazon Nova models and OpenAIs GPT-4o models with the Comprehensive Retrieval Augmented Generation (CRAG) benchmark dataset. FloTorch used these queries and their ground truth answers to create a subset benchmark dataset.

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Guest Blog: Understanding the Impact of Competitive Benchmarking Programs

ShepHyken

This week we feature an article by Daniel Bakst who explains why competitive benchmarking is key to better serving your customer base. – Shep Hyken. Brands in any industry can benefit from a competitive benchmarking program because the information collected can have a direct impact on the Customer Experience platform you produce.

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Key Benchmarks Should You Target In 2025 for your Contact Center

NobelBiz

With the advancement of the contact center industry, benchmarks continue to shift and challenge businesses to meet higher customer expectations while maintaining efficiency. In 2025, achieving the right benchmarks means understanding the metrics that matter, tracking them effectively, and striving for continuous improvement.

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Generate training data and cost-effectively train categorical models with Amazon Bedrock

AWS Machine Learning

In this post, we explore how you can use Amazon Bedrock to generate high-quality categorical ground truth data, which is crucial for training machine learning (ML) models in a cost-sensitive environment. For the multiclass classification problem to label support case data, synthetic data generation can quickly result in overfitting.

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Study: The Health of the Contact Center

What does it take to engage agents in this customer-centric era? Download our study of 1,000 contact center agents in the US and UK to find out what major challenges are facing contact center agents today – and what your company can do about it.

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Cohere Embed multimodal embeddings model is now available on Amazon SageMaker JumpStart

AWS Machine Learning

This model is the newest Cohere Embed 3 model, which is now multimodal and capable of generating embeddings from both text and images, enabling enterprises to unlock real value from their vast amounts of data that exist in image form. This integration allows for seamless interaction and comparison between different types of data.

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Benchmark and optimize endpoint deployment in Amazon SageMaker JumpStart 

AWS Machine Learning

This post explores these relationships via a comprehensive benchmarking of LLMs available in Amazon SageMaker JumpStart, including Llama 2, Falcon, and Mistral variants. We provide theoretical principles on how accelerator specifications impact LLM benchmarking. Additionally, models are fully sharded on the supported instance.

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2020 Database Strategies and Contact Acquisition Survey Report

This report aims to highlight the current state of B2B database and contact acquisition strategies and organizations’ goals to leverage data to fuel their go-to-market strategies in 2020 and beyond. New tactics to acquire data to reach marketing goals. Database benchmarks for education and resource prioritization.

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The Health of the Contact Center: Are You Ready for 2019?

A survey of 1,000 contact center professionals reveals what it takes to improve agent well-being in a customer-centric era. This report is a must-read for contact center leaders preparing to engage agents and improve customer experience in 2019.