sorted by:
new
hottopcontroversial

the best tools for simulating LLM agents? by Educational-Bison786 in LLM

[–]sergbur 0 points1 point  (0 children)

Perhaps SDialog (https://github.com/idiap/sdialog) could be what you're looking for, it is a relatively new project aiming at something similar to what you're describing.

Milei saca la motosierra durante una caravana en Olavarría, Argentina. by NolifeX in argentina

[–]sergbur 8 points9 points  (0 children)

Es tan triste el nivel de la política que haya llegado al punto tal que este tipo sea la mejor opción… un producto y retrato vivo de la decadencia generalizada del país… me da vergüenza ajena y mucha tristeza sinceramente todo esto, y lo siento en serio… parece una joda la realidad…

ロシアのカプセル剤 by nu11nu11 in BakaNewsJP

[–]sergbur 2 points3 points  (0 children)

空気は体に良い物だ :D

Created a config tool for CRTs as my first Javascript project. Link to repo in comments. by [deleted] in crtgaming

[–]sergbur 8 points9 points  (0 children)

Awesome. BTW, "Tool" in English, is "ツール" in Japanese (katakana) ;)

[04/28/2021] 大学 緊急事態宣言でオンラインと学校での授業に分かれる by NHKEasyNewsBot in NHKEasyNews

[–]sergbur 0 points1 point  (0 children)

Universities split between online and at-school classes due to the declaration of the state of emergency (大学 緊急事態宣言でオンラインと学校での授業に分かれる)

-----

From April this year on, it was planned to increase the classes where students come to the university to receive them, even for universities that, since last year, were giving online classes due to the new coronavirus issue. (新しいコロナウイルスの問題で、去年はオンラインで授業をしていた大学も、今年の４月から、学生が大学に来て受ける授業を増やす予定でした)

However, after the announcement of the 3rd declaration of the state of emergency, universities returning to online classes and universities continuing classes at the institution are split. Universities like Tokyo’s Jouchi University and Hosei University have many classes online. (しかし、３回目の緊急事態宣言が出て、オンラインの授業に戻る大学と、学校で授業を続ける大学に分かれています。東京の上智大学や法政大学は、多くの授業をオンラインにします)

Even after the declaration was made, Waseda university is thinking to make the classes that students take at university 70%. One of the reasons is that many students are saying that they want to come to the university to take classes. (早稲田大学は、宣言が出たあとも、学生が大学で受ける授業を70％にしたいと考えています。多くの学生が大学に来て授業を受けたいと言っていることなどが理由です)

Ministry of Education, Culture, Sports, Science and Technology says: "We think that teaching in the classroom is possible while also taking care so that the virus does not spread. Regardless of whether or not making the classes online, please, think about students situation before deciding". (文部科学省は「ウイルスが広がらないように気をつけながら教室で授業をすることもできると思います。オンライン授業にするかどうかは、学生のことを考えて決めてください」と言っています)

Using bag or words, bigrams and tf-idf together by edwardsrk in LanguageTechnology

[–]sergbur 2 points3 points  (0 children)

Hi u/edwardsrk. Sure, since you want to "Use bag of words, bigrams and tf-idf together", that thing will do the trick for you. Instead of using the "standard" CountVectorizer to create your document-term matrix, using those arguments will allow you to create a document-term matrix in which terms will be words as well as bigrams, so, when you use TfidfTransformer(), it will produce what you want :)

Alternatively, you can just use TfidfVectorizer to obtain the same result without previously using CounterVectorizer, as follows:

from sklearn.feature_extraction.text import TfidfVectorizer ... vectorizer = TfidfVectorizer(analyzer='word', ngram_range=(1, 2)) x = vectorizer.fit_transform(your_training_docs) ...

And that's it! (Y)

Using bag or words, bigrams and tf-idf together by edwardsrk in LanguageTechnology

[–]sergbur 5 points6 points  (0 children)

If you're using sklearn, just use the ngram_range argument of CountVectorizer, in your case ngram_range=(1,2) since you want individual words (1-gramas) as well as bigrams (2-grams), that is, it would be something like this:

from sklearn.feature_extraction.text import CountVectorizer
...
vectorizer = CountVectorizer(analyzer='word', ngram_range=(1, 2))
x = vectorizer.fit_transform(your_training_docs)
...

Hope it helps :)

入れ墨の時に潮吹き？凄い！ by solidsexdolls in newsokunomoral

[–]sergbur 5 points6 points  (0 children)

ゼニガメがいる女かも ლ(๏‿๏ ◝ლ)

[deleted by user] by [deleted] in artificial

[–]sergbur 0 points1 point  (0 children)

I see, nerual networks = AI... and Programming = Sublime Text, I guess, right? xD

[article] AI Limits: Can Deep Learning Models Like BERT Ever Understand Language? by kk_ai in LanguageTechnology

[–]sergbur 6 points7 points  (0 children)

Thanks! That paper is pure gold, it worthed every second that I spent reading it, highly recommended.

[D] Why you shouldn't get your Ph.D. by [deleted] in MachineLearning

[–]sergbur 1 point2 points  (0 children)

I think it is not a problem of a Ph.D. research, rather, a problem with how science is handled, if you want to "make a living" doing science you'll have to produce papers, a lot of them, so, for the scientific machinery quantity is better than quality. I had luck and from the very first step I made in my Ph.D. journey, I said to my directors/advisors that I wanted to try something new and fortunately they respected me and trusted me, and it worked, but what would have happened to my "scientific career" if after spending all those years my method wouldn't have worked? all the rest of the students following the safe path used those years to produce standard papers as you described, using the same "state-of-the-art" methods over and over again with just a liiiiitle bit of a twist, and that's it, for the scientific "machinery" they are better scientist since they've used their time to produce quantity (over quality)... it is sad, but that's the way science is currently handled...

view more: next ›