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Large Language Models: A Survey
https://arxiv.org/pdf/2402.06196.pdf
by Shervin Minaee, Tomas Mikolov, Narjes Nikzad, Meysam Chenaghlu Richard Socher, Xavier Amatriain, Jianfeng Gao
Why you should pay attention to this article: Thomas is one of the authors of word2vec, an approach that turned the NLP world upside down in 2013 (42k citations), and has already collected more than 100k citations during his scientific career.
Let's compare: Yann LeCun, lauret of the Turing Award for sensational neural Networks, has 3 articles with more than 10k citations. One of the leading scientists on recommendation systems, Joe Konstantin, has only one and has not yet reached 100k publications.
The structure of the article:
* Large Language Models
* How LLMs are built
* How LLMs are used and augmented
* Popular datasets for LLMs
* Prominent LLMs’ performance on benchmarks
* Challenges and future directions
Fly in, hurry up, buy and study painting! (classics of the genre)
Another author has been singled out, why? 🤔
For a like and a repost in karma plus
#study #work
Large Language Models: A Survey
https://arxiv.org/pdf/2402.06196.pdf
by Shervin Minaee, Tomas Mikolov, Narjes Nikzad, Meysam Chenaghlu Richard Socher, Xavier Amatriain, Jianfeng Gao
Почему стоит обратить внимание на эту статью: Томас - один из авторов word2vec, подхода, который перевернул мир NLP в 2013-м (42k цитирований), а за свою научную карьеру собрал уже более 100k цитирований.
Сравним: Yann LeCun, лаурет премии Тьюринга за нашумевшие нейронки, имеет 3 статьи с количеством цитирований более 10k. Один из ведущих ученых по рекомендательным системам, Joe Konstan, - всего одну и до 100k публикаций еще не добрался.
Структура статьи:
* Large Language Models
* How LLMs are built
* How LLMs are used and augmented
* Popular datasets for LLMs
* Prominent LLMs’ performance on benchmarks
* Challenges and future directions
Налетай, торопись, п̶о̶к̶у̶п̶а̶й̶ изучай живопись! (классика жанра)
Выделен еще один автор, why? 🤔
За лайк и репост в карму плюс 🤗
#study #work
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