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Achieving Excellence: Best Practices for Contact Center Performance and Quality Assurance

Hodusoft

Achieving Excellence: Best Practices for Contact Center Performance and Quality Assurance Whether you are an entrepreneur or a professional in the contact center industry or any other sector, you know that implementing best practices can enhance performance by leaps and bounds and drive success. They create them.”

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Elevate customer experience by using the Amazon Q Business custom plugin for New Relic AI

AWS Machine Learning

The challenge: Resolving application problems before they impact customers New Relic’s 2024 Observability Forecast highlights three key operational challenges: Tool and context switching – Engineers use multiple monitoring tools, support desks, and documentation systems. The following diagram illustrates the workflow.

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

AWS Machine Learning

Curated judge models : Amazon Bedrock provides pre-selected, high-quality evaluation models with optimized prompt engineering for accurate assessments. Expert analysis : Data scientists or machine learning engineers analyze the generated reports to derive actionable insights and make informed decisions. 0]}-{evaluator_model.split('.')[0]}-{datetime.now().strftime('%Y-%m-%d-%H-%M-%S')}"

Metrics 93
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Best practices to build generative AI applications on AWS

AWS Machine Learning

We provide an overview of key generative AI approaches, including prompt engineering, Retrieval Augmented Generation (RAG), and model customization. Building large language models (LLMs) from scratch or customizing pre-trained models requires substantial compute resources, expert data scientists, and months of engineering work.

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

AWS Machine Learning

All text-to-image benchmarks are evaluated using Recall@5 ; text-to-text benchmarks are evaluated using NDCG@10. Text-to-text benchmark accuracy is based on BEIR, a dataset focused on out-of-domain retrievals (14 datasets). Generic text-to-image benchmark accuracy is based on Flickr and CoCo. This example uses ml.g5.xlarge,

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Maximizing ROI with CPQ: 10 Best Practices for Sales Success

Cincom

This article outlines 10 CPQ best practices to help optimize your performance, eliminate inefficiencies, and maximize ROI. Automate Price Calculations and Adjustments Utilize real-time pricing engines within CPQ to dynamically calculate prices based on market trends, cost fluctuations, and competitor benchmarks.

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Best practices for Amazon SageMaker Training Managed Warm Pools

AWS Machine Learning

In this post, we outline the key benefits and pain points addressed by SageMaker Training Managed Warm Pools, as well as benchmarks and best practices. Benchmarks. We performed benchmarking tests to measure job startup latency using a 1.34 Best practices for using warm pools. Data Input Mode.