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How Does Mental Accounting Influence Customer Experience

Beyond Philosophy

The answer is found in the concept of mental accounting, and it might have significant implications for your Customer Experience. We discussed how our mental accounting affects our behavior as customers in our recent podcast. How Mental Accounting Works. We have written about Mental Accounting before.

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Natural Language Understanding Benchmarking Report: Which conversational AI platforms are the best?

Netomi

This is because IBM Watson, Microsoft LUIS, RASA and Google Dialog Flow are more likely to respond incorrectly to topics that they have not been trained on. NLU Benchmarking Report: The Process . Download your copy of the NLU Benchmarking Report now for the full results. NLU Benchmarking Report: The Results .

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Scaling distributed training with AWS Trainium and Amazon EKS

AWS Machine Learning

Although larger models tend to be more powerful, training such models requires significant computational resources. Even with the use of advanced distributed training libraries like FSDP and DeepSpeed, it’s common for training jobs to require hundreds of accelerator devices for several weeks or months at a time.

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Achieve rapid time-to-value business outcomes with faster ML model training using Amazon SageMaker Canvas

AWS Machine Learning

In this blog post, we’ll look at how Amazon SageMaker Canvas delivers faster and more accurate model training times enabling iterative prototyping and experimentation, which in turn speeds up the time it takes to generate better predictions. We estimated these numbers by running benchmark tests on different dataset sizes from 0.5

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Hyperparameter optimization for fine-tuning pre-trained transformer models from Hugging Face

AWS Machine Learning

However, training these gigantic networks from scratch requires a tremendous amount of data and compute. For smaller NLP datasets, a simple yet effective strategy is to use a pre-trained transformer, usually trained in an unsupervised fashion on very large datasets, and fine-tune it on the dataset of interest. training script.

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Increase ML model performance and reduce training time using Amazon SageMaker built-in algorithms with pre-trained models

AWS Machine Learning

Model training forms the core of any machine learning (ML) project, and having a trained ML model is essential to adding intelligence to a modern application. Generally speaking, training a model from scratch is time-consuming and compute intensive. Model training in Studio. This post showcases the results of the study.

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All Revenue is Not Equal: Shifting Mindset with Account-Based Sales

Integrity Solutions

With the rise of cross-functional buying committees in B2B selling situations, sales and marketing professionals are reevaluating some of their “tried-and-true” methods and shifting away from just individuals to more of an account-based sales approach. One of the hallmarks of account-base sales is hyper-personalization.