2018 Related Topics 
Analytics Vidhya
JANUARY 20, 2025
Since its introduction in 2018, BERT has transformed Natural Language Processing. It performs well in tasks like sentiment analysis, question answering, and language inference. Using bidirectional training and transformer-based self-attention, BERT introduced a new way to understand relationships between words in text.
insideBIGDATA
APRIL 24, 2023
The company was founded in 2018 by Alexander Matveev, a former researcher at MIT, and Nir Shavit, a professor of computer science at MIT. Neural Magic is a startup company that focuses on developing technology that enables deep learning models to run on commodity CPUs rather than specialized hardware like GPUs.
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Analytics Vidhya
NOVEMBER 1, 2022
Source: Canva|Arxiv Introduction In 2018 GoogleAI researchers developed Bidirectional Encoder Representations from Transformers (BERT) for various NLP tasks. This article was published as a part of the Data Science Blogathon.
Analytics Vidhya
NOVEMBER 3, 2022
Source: Canva Introduction In 2018, GoogleAI researchers released the BERT model. This article was published as a part of the Data Science Blogathon. It was a fantastic work that brought a revolution in the NLP domain. However, the BERT model did have some drawbacks i.e. it was bulky and hence a little slow. To navigate […].
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Analytics Vidhya
JULY 29, 2022
According to the IDC report, the world will spend $160 billion on cloud services and infrastructure in 2018. Introduction Cloud computing is one of the fastest-growing IT technologies today. By 2025, 83% of enterprise workloads will be in the cloud. The cloud encompasses a […].
Analytics Vidhya
DECEMBER 30, 2021
This article was published as a part of the Data Science Blogathon Introduction In 2018, a powerful Transformer-based machine learning model, namely, BERT was developed by Jacob Devlin and his colleagues from Google for NLP applications.
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