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.
IBM Journey to AI blog
AUGUST 24, 2023
Formed in 2018 to compete in the inaugural Call for Code Global Challenge — which it won — Project OWL is a global team of entrepreneurs focused on creating radically cost-effective and easy to use aerospace technologies. This is where Project OWL comes into play: developing new technologies to help address these challenges.
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Unite.AI
FEBRUARY 18, 2025
She quickly established herself as a key player in the AI field, working at Tesla and Leap Motion before joining OpenAI in 2018. Born in Vlor, Albania, she pursued engineering studies in the United States, earning degrees from Dartmouth College and Colby College.
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.
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Many application teams leave embedded analytics to languish until something—an unhappy customer, plummeting revenue, a spike in customer churn—demands change. But by then, it may be too late. In this White Paper, Logi Analytics has identified 5 tell-tale signs your project is moving from “nice to have” to “needed yesterday.".
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 […].
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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