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Ready to pick up the chatbot’s call?

Dataconomy

The concept encapsulates a broad range of AI-enabled abilities, from Natural Language Processing (NLP) to machine learning (ML), aimed at empowering computers to engage in meaningful, human-like dialogue. But what exactly is conversational intelligence, and why is it so crucial in today’s tech-driven world?

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Question answering using Retrieval Augmented Generation with foundation models in Amazon SageMaker JumpStart

AWS Machine Learning Blog

JumpStart is a machine learning (ML) hub that can help you accelerate your ML journey. JumpStart provides many pre-trained language models called foundation models that can help you perform tasks such as article summarization, question answering, and conversation generation and image generation.

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Streamlining ETL data processing at Talent.com with Amazon SageMaker

AWS Machine Learning Blog

Established in 2011, Talent.com aggregates paid job listings from their clients and public job listings, and has created a unified, easily searchable platform. Our pipeline belongs to the general ETL (extract, transform, and load) process family that combines data from multiple sources into a large, central repository.

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From text to dream job: Building an NLP-based job recommender at Talent.com with Amazon SageMaker

AWS Machine Learning Blog

Founded in 2011, Talent.com is one of the world’s largest sources of employment. With over 30 million jobs listed in more than 75 countries, Talent.com serves jobs across many languages, industries, and distribution channels. The recommendation system has driven an 8.6%

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Multi-Modal Methods: Visual Speech Recognition (Lip Reading)

ML Review

Recent Intersections Between Computer Vision and Natural Language Processing (Part One) This is the first instalment of our latest publication series looking at some of the intersections between Computer Vision (CV) and Natural Language Processing (NLP). Thanks for reading! Online] arXiv: 1710.01288.

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Data Catalogs: A Category of Their Own

Alation

While this requires technology – AI, machine learning, log parsing, natural language processing,metadata management, this technology must be surfaced in a form accessible to business users – the data catalog. Here’s why your organization should catch the Wave. Subscribe to Alation's Blog.

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Efficiently train, tune, and deploy custom ensembles using Amazon SageMaker

AWS Machine Learning Blog

As AI has evolved, we have seen different types of machine learning (ML) models emerge. Detailed deployment patterns for this kind of settings can be found in Model hosting patterns in Amazon SageMaker, Part 1: Common design patterns for building ML applications on Amazon SageMaker.

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