Remove 2023 Remove Metrics Remove Scripts
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CX4Now: Contact Center KPIs that Matter

Fonolo

But without the contact center KPIs and metrics that managers use to measure the effectiveness of their operations, you’d never know for sure. We asked contact center industry influencers to share their insights into the changing role of KPIs and shine a light on new metrics to watch. KPIs matter. And they’re changing quickly.

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Few-shot prompt engineering and fine-tuning for LLMs in Amazon Bedrock

AWS Machine Learning

Investors and analysts closely watch key metrics like revenue growth, earnings per share, margins, cash flow, and projections to assess performance against peers and industry trends. Traditionally, earnings call scripts have followed similar templates, making it a repeatable task to generate them from scratch each time.

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From RAG to fabric: Lessons learned from building real-world RAGs at GenAIIC – Part 1

AWS Machine Learning

Since the inception of AWS GenAIIC in May 2023, we have witnessed high customer demand for chatbots that can extract information and generate insights from massive and often heterogeneous knowledge bases. Mean Reciprocal Rank (MRR) – This metric considers the ranking of the retrieved documents.

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Revolutionizing large language model training with Arcee and AWS Trainium

AWS Machine Learning

Now you can launch a training job to submit a model training script as a slurm job. Finally, convert the saved checkpoints back to a standard format for subsequent use, employing scripts for seamless conversion. The increasing number of trained tokens correlated with enhanced model performance, as measured by the perplexity metric.

APIs 119
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Use Call Center KPIs to Turn Consumers into Promoters

The Northridge Group

If so, here’s how to go about it: Align KPIs with Culture Key performance indicators (KPIs) are metrics you can track to monitor how your call center (or business in general) is doing. Download Part II of Northridge's State of Customer Experience 2023 Research Report for more CX insights!

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Open source observability for AWS Inferentia nodes within Amazon EKS clusters

AWS Machine Learning

Metrics allow teams to understand workload behavior and optimize resource allocation and utilization, diagnose anomalies, and increase overall infrastructure efficiency. Metrics are exposed to Amazon Managed Service for Prometheus by the neuron-monitor DaemonSet, which deploys a minimal container, with the Neuron tools installed.

APIs 116
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Efficiently fine-tune the ESM-2 protein language model with Amazon SageMaker

AWS Machine Learning

Nature Reviews Drug Discovery 22, 260–260 (2023). For example, in 2023, a research team described training a 100 billion-parameter pLM on 768 A100 GPUs for 164 days! In the following sections, we go through the steps to prepare your training data, create a training script, and run a SageMaker training job.

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