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Understanding Transformers: A Deep Dive into NLP’s Core Technology

Analytics Vidhya

Introduction Welcome into the world of Transformers, the deep learning model that has transformed Natural Language Processing (NLP) since its debut in 2017. These linguistic marvels, armed with self-attention mechanisms, revolutionize how machines understand language, from translating texts to analyzing sentiments.

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Exploring the Use of LLMs and BERT for Language Tasks

Analytics Vidhya

Since the groundbreaking ‘Attention is all you need’ paper in 2017, the Transformer architecture, notably exemplified by ChatGPT, has become pivotal. Introduction In the rapidly evolving landscape of artificial intelligence, especially in NLP, large language models (LLMs) have swiftly transformed interactions with technology.

BERT 271
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ML/NLP Publications in 2017

Marek Rei

Venues First, let’s look at different publication venues between 2012-2017. Most other venues are also growing rapidly, with 2017 being the biggest year ever for ICML, ICLR, EMNLP, EACL and CoNLL. NAACL and COLING were notably missing from 2017, but we can look forward to both of them in 2018. That’s it for 2017.

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Beginners’ Guide to Finetuning Large Language Models (LLMs)

Analytics Vidhya

Rewind to 2017, a pivotal moment marked by […] The post Beginners’ Guide to Finetuning Large Language Models (LLMs) appeared first on Analytics Vidhya. In a mere blink, AI has surged, shaping our world.

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New Study: 2018 State of Embedded Analytics Report

Why do some embedded analytics projects succeed while others fail? We surveyed 500+ application teams embedding analytics to find out which analytics features actually move the needle. Read the 6th annual State of Embedded Analytics Report to discover new best practices. Brought to you by Logi Analytics.

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Test your Data Science Skills on Transformers library

Analytics Vidhya

A team at Google Brain developed Transformers in 2017, and they are now replacing RNN models like long short-term memory(LSTM) as the model of choice for NLP […]. This article was published as a part of the Data Science Blogathon. The post Test your Data Science Skills on Transformers library appeared first on Analytics Vidhya.

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Understanding and coding Neural Networks From Scratch in Python and R

Analytics Vidhya

Note: This article was originally published on May 29, 2017, and updated on July 24, 2020 Overview Neural Networks is one of the most. The post Understanding and coding Neural Networks From Scratch in Python and R appeared first on Analytics Vidhya.

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Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

Think your customers will pay more for data visualizations in your application? Five years ago they may have. But today, dashboards and visualizations have become table stakes. Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics.

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How to Package and Price Embedded Analytics

Just by embedding analytics, application owners can charge 24% more for their product. How much value could you add? This framework explains how application enhancements can extend your product offerings. Brought to you by Logi Analytics.