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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.

Benchmark 114
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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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Pixtral-12B-2409 is now available on Amazon Bedrock Marketplace

AWS Machine Learning

Overview of Pixtral 12B Pixtral 12B, Mistrals inaugural VLM, delivers robust performance across a range of benchmarks, surpassing other open models and rivaling larger counterparts, according to Mistrals evaluation. Performance metrics and benchmarks Pixtral 12B is trained to understand both natural images and documents, achieving 52.5%

Benchmark 113
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Accelerate digital pathology slide annotation workflows on AWS using H-optimus-0

AWS Machine Learning

The power of FMs lies in their ability to learn robust and generalizable data embeddings that can be effectively transferred and fine-tuned for a wide variety of downstream tasks, ranging from automated disease detection and tissue characterization to quantitative biomarker analysis and pathological subtyping.

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

AWS Machine Learning

Expert analysis : Data scientists or machine learning engineers analyze the generated reports to derive actionable insights and make informed decisions. Prerequisites To use the LLM-as-a-judge model evaluation, make sure that you have satisfied the following requirements: An active AWS account. 0]}-{evaluator_model.split('.')[0]}-{datetime.now().strftime('%Y-%m-%d-%H-%M-%S')}"

Metrics 107
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Are You Ready for Facial Recognition Technology in Your CX?

Beyond Philosophy

We had Professor Bill Hedgecock, associate professor of marketing Carlson School of Management at the University of Minnesota, as a guest on a recent podcast to talk about facial recognition and facial expression analysis technology and application in Customer Experience programs. So, Is it Creepy?

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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.

Benchmark 131