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

AWS Machine Learning

Multimodal embeddings can enable personalized recommendations by understanding user preferences and matching them with the most relevant assets. Multimodal embeddings models can enhance personalization through visual similarity search, where users can upload an image or select a product they like, and the system finds visually similar items.

Benchmark 106
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Scalable intelligent document processing using Amazon Bedrock

AWS Machine Learning

In today’s data-driven business landscape, the ability to efficiently extract and process information from a wide range of documents is crucial for informed decision-making and maintaining a competitive edge. The Anthropic Claude 3 Haiku model then processes the documents and returns the desired information, streamlining the entire workflow.

APIs 128
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The state of CX: Trends and predictions for 2025

3CLogic

Rapid technological advancements have affected customer expectations, with 73% demanding better personalization and 81% faster service. resulting in better, faster, more personalized experiences. As a result, agents can spend less time documenting interaction details and get back to helping the next customer faster.

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How to Establish a Net Promoter Score Benchmark for Your Call Center

Fonolo

The best strategy is to use a combination of data reports and benchmarking to ensure your findings reflect “the big picture” Creating a Customer Service Strategy That Drives Business Growth. How to Establish a Net Promoter Score Benchmark. Benchmarking isn’t just about improving your personal best.

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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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LLM continuous self-instruct fine-tuning framework powered by a compound AI system on Amazon SageMaker

AWS Machine Learning

Besides the efficiency in system design, the compound AI system also enables you to optimize complex generative AI systems, using a comprehensive evaluation module based on multiple metrics, benchmarking data, and even judgements from other LLMs. Additionally, the question-answer pairs are used as training samples for the model fine-tuning.

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Get started with Amazon Titan Text Embeddings V2: A new state-of-the-art embeddings model on Amazon Bedrock

AWS Machine Learning

Embeddings also play a key role in personalization and recommendation systems by representing user preferences, item characteristics, and historical interactions as vectors, allowing calculation of similarities for personalized recommendations based on user behavior and item embeddings.

Benchmark 126
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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.