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‎_posts/2018-05-09-visualizing-neural-machine-translation-mechanics-of-seq2seq-models-with-attention.md

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title: Visualizing A Neural Machine Translation Model (Mechanics of Seq2seq Models With Attention)
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<span class="discussion">Translations: <a href="https://blog.csdn.net/qq_41664845/article/details/84245520">Chinese (Simplified)</a>, <a href="https://tips-memo.com/translation-jayalmmar-attention">Japanese</a>, <a href="https://nlpinkorean.github.io/visualizing-neural-machine-translation-mechanics-of-seq2seq-models-with-attention/">Korean</a>, <a href="http://dml.qom.ac.ir/2021/10/03/visualizing-a-neural-machine-translation-model/">Persian</a>, <a href="https://habr.com/ru/post/486158/">Russian</a>, <a href="https://medium.com/@SenemAktas/n%C3%B6ral-makine-%C3%A7eviri-modelini-g%C3%B6rselle%C5%9Ftirme-seq2seq-modelinin-attention-mekanizmas%C4%B1-b12581b5a1df">Turkish</a></span>
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<span class="discussion">Translations: <a href="https://blog.csdn.net/qq_41664845/article/details/84245520">Chinese (Simplified)</a>, <a href="https://lbourdois.github.io/blog/nlp/Seq2seq-et-attention/">French</a>, <a href="https://tips-memo.com/translation-jayalmmar-attention">Japanese</a>, <a href="https://nlpinkorean.github.io/visualizing-neural-machine-translation-mechanics-of-seq2seq-models-with-attention/">Korean</a>, <a href="http://dml.qom.ac.ir/2021/10/03/visualizing-a-neural-machine-translation-model/">Persian</a>, <a href="https://habr.com/ru/post/486158/">Russian</a>, <a href="https://medium.com/@SenemAktas/n%C3%B6ral-makine-%C3%A7eviri-modelini-g%C3%B6rselle%C5%9Ftirme-seq2seq-modelinin-attention-mekanizmas%C4%B1-b12581b5a1df">Turkish</a></span>
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<span class="discussion">Watch: MIT's <a href="https://youtu.be/53YvP6gdD7U?t=335">Deep Learning State of the Art</a> lecture referencing this post</span>
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‎_posts/2018-06-27-illustrated-transformer.md

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<a href="https://news.ycombinator.com/item?id=18351674" class="hn-link">Hacker News (65 points, 4 comments)</a>, <a href="https://www.reddit.com/r/MachineLearning/comments/8uh2yz/p_the_illustrated_transformer_a_visual_look_at/" class="">Reddit r/MachineLearning (29 points, 3 comments)</a>
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</span>
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<span class="discussion">Translations: <a href="https://blog.csdn.net/yujianmin1990/article/details/85221271">Chinese (Simplified)</a>, <a href="https://a-coles.github.io/2020/11/15/transformer-illustre.html">French</a>, <a href="https://tips-memo.com/translation-jayalmmar-transformer">Japanese</a>, <a href="https://nlpinkorean.github.io/illustrated-transformer/">Korean</a>, <a href="https://habr.com/ru/post/486358/">Russian</a>, <a href="https://hackernoon.com/el-transformador-ilustrado-una-traduccion-al-espanol-0y73wwp">Spanish</a>, <a href="https://trituenhantao.io/tin-tuc/minh-hoa-transformer/">Vietnamese</a></span>
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<span class="discussion">Translations: <a href="https://blog.csdn.net/yujianmin1990/article/details/85221271">Chinese (Simplified)</a>, <a href="https://a-coles.github.io/2020/11/15/transformer-illustre.html">French 1</a>, <a href="https://lbourdois.github.io/blog/nlp/Transformer/">French 2</a>, <a href="https://tips-memo.com/translation-jayalmmar-transformer">Japanese</a>, <a href="https://nlpinkorean.github.io/illustrated-transformer/">Korean</a>, <a href="https://habr.com/ru/post/486358/">Russian</a>, <a href="https://hackernoon.com/el-transformador-ilustrado-una-traduccion-al-espanol-0y73wwp">Spanish</a>, <a href="https://trituenhantao.io/tin-tuc/minh-hoa-transformer/">Vietnamese</a></span>
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<span class="discussion">Watch: MIT's <a href="https://youtu.be/53YvP6gdD7U?t=432">Deep Learning State of the Art</a> lecture referencing this post</span>
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‎_posts/2018-12-03-illustrated-bert.md

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<a href="https://news.ycombinator.com/item?id=18751469" class="hn-link">Hacker News (98 points, 19 comments)</a>, <a href="https://www.reddit.com/r/MachineLearning/comments/a3ykzf/r_the_illustrated_bert_and_elmo_how_nlp_cracked/" class="">Reddit r/MachineLearning (164 points, 20 comments)</a>
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<span class="discussion">Translations: <a href="https://blog.csdn.net/qq_41664845/article/details/84787969">Chinese (Simplified)</a>, <a href="https://a-coles.github.io/2020/11/15/bert-illustre.html">French</a>, <a href="https://tech-magazine.opt.ne.jp/entry/2020/05/01/132654">Japanese</a>, <a href="https://nlpinkorean.github.io/illustrated-bert/">Korean</a>, <a href="http://blog.class.vision/1397/09/bert-in-nlp/">Persian</a>, <a href="https://habr.com/ru/post/487358/">Russian</a></span>
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<span class="discussion">Translations: <a href="https://blog.csdn.net/qq_41664845/article/details/84787969">Chinese (Simplified)</a>, <a href="https://a-coles.github.io/2020/11/15/bert-illustre.html">French 1</a>, <a href="https://lbourdois.github.io/blog/nlp/BERT/">French 2</a>, <a href="https://tech-magazine.opt.ne.jp/entry/2020/05/01/132654">Japanese</a>, <a href="https://nlpinkorean.github.io/illustrated-bert/">Korean</a>, <a href="http://blog.class.vision/1397/09/bert-in-nlp/">Persian</a>, <a href="https://habr.com/ru/post/487358/">Russian</a></span>
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<strong>2021 Update:</strong> I created this brief and highly accessible video intro to BERT
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‎_posts/2019-03-27-illustrated-word2vec.md

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</span>
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Translations: <a href="https://mp.weixin.qq.com/s?__biz=MjM5MTQzNzU2NA==&mid=2651669277&idx=2&sn=bc8f0590f9e340c1f1359982726c5a30&chksm=bd4c648e8a3bed9817f30c5a512e79fe0cc6fbc58544f97c857c30b120e76508fef37cae49bc&scene=0&xtrack=1#rd">Chinese (Simplified)</a>, <a href="https://databreak.netlify.com/2019-04-25-illustrated_word2vec/">Korean</a>, <a href="https://pessoalex.wordpress.com/2019/03/29/o-word2vec-ilustrado/">Portuguese</a>, <a href="https://habr.com/ru/post/446530/">Russian</a>
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Translations: <a href="https://mp.weixin.qq.com/s?__biz=MjM5MTQzNzU2NA==&mid=2651669277&idx=2&sn=bc8f0590f9e340c1f1359982726c5a30&chksm=bd4c648e8a3bed9817f30c5a512e79fe0cc6fbc58544f97c857c30b120e76508fef37cae49bc&scene=0&xtrack=1#rd">Chinese (Simplified)</a>, <a href="https://lbourdois.github.io/blog/nlp/word_embedding/">French</a>, <a href="https://databreak.netlify.com/2019-04-25-illustrated_word2vec/">Korean</a>, <a href="https://pessoalex.wordpress.com/2019/03/29/o-word2vec-ilustrado/">Portuguese</a>, <a href="https://habr.com/ru/post/446530/">Russian</a>
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‎_posts/2019-06-26-visual-numpy.md

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<a href="https://news.ycombinator.com/item?id=20282985" class="hn-link">Hacker News (366 points, 21 comments)</a>, <a href="https://www.reddit.com/r/MachineLearning/comments/c5nc89/p_a_visual_intro_to_numpy_and_data_representation/" class="">Reddit r/MachineLearning (256 points, 18 comments)</a>
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<span class="discussion">Translations: <a href="http://www.junphy.com/wordpress/index.php/2019/10/24/visual-numpy/">Chinese 1</a>, <a href="https://github.com/kevingo/blog/blob/master/ML/visual-numpy.md">Chinese 2</a>, <a href="https://note.mu/sayajewels/n/n95edaedb0fc5">Japanese</a>, <a href="https://chloamme.github.io/translation/2021/12/20/visual-numpy-korean.html">Korean</a></span>
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<span class="discussion">Translations: <a href="http://www.junphy.com/wordpress/index.php/2019/10/24/visual-numpy/">Chinese 1</a>, <a href="https://github.com/kevingo/blog/blob/master/ML/visual-numpy.md">Chinese 2</a>, <a href="https://note.mu/sayajewels/n/n95edaedb0fc5">Japanese</a>, <a href="https://chloamme.github.io/2021/12/20/visual-numpy-korean.html">Korean</a></span>
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‎_posts/2019-08-12-illustrated-gpt2.md

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<a href="https://news.ycombinator.com/item?id=20677411" class="hn-link">Hacker News (64 points, 3 comments)</a>, <a href="https://www.reddit.com/r/MachineLearning/comments/cp8prq/p_the_illustrated_gpt2_visualizing_transformer/" class="">Reddit r/MachineLearning (219 points, 18 comments)</a>
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<span class="discussion">Translations: <a href="https://chloamme.github.io/translation/2021/12/08/illustrated-gpt2-korean.html">Korean</a>, <a href="https://habr.com/ru/post/490842/">Russian</a></span>
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<span class="discussion">Translations: <a href="https://lbourdois.github.io/blog/nlp/GPT2/">French</a>, <a href="https://chloamme.github.io/2021/12/08/illustrated-gpt2-korean.html">Korean</a>, <a href="https://habr.com/ru/post/490842/">Russian</a></span>
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‎_posts/2019-11-26-a-visual-guide-to-using-bert-for-the-first-time.md

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<span class="discussion">Translations: <a href="http://www.junphy.com/wordpress/index.php/2020/10/20/a-visual-guide-using-bert/">Chinese</a>, <a href="https://chloamme.github.io/translation/2021/12/22/a-visual-guide-to-using-bert-for-the-first-time-korean.html">Korean</a>, <a href="https://habr.com/ru/post/498144/">Russian</a></span>
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<span class="discussion">Translations: <a href="http://www.junphy.com/wordpress/index.php/2020/10/20/a-visual-guide-using-bert/">Chinese</a>, <a href="https://chloamme.github.io/2021/12/22/a-visual-guide-to-using-bert-for-the-first-time-korean.html">Korean</a>, <a href="https://habr.com/ru/post/498144/">Russian</a></span>
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<div class="img-div-any-width" markdown="0">
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<image src="/images/distilBERT/bert-distilbert-sentence-classification.png"/>

‎_posts/2020-07-27-how-gpt3-works-visualizations-animations.md

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<a href="https://news.ycombinator.com/item?id=23967887" class="hn-link">Hacker News (397 points, 97 comments)</a>, <a href="https://www.reddit.com/r/MachineLearning/comments/hwxn26/p_how_gpt3_works_visuals_and_animations/" class="">Reddit r/MachineLearning (247 points, 27 comments)</a>
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<span class="discussion">Translations: <a href="https://www.arnevogel.com/wie-gpt3-funktioniert/">German</a>, <a href="https://chloamme.github.io/translation/2021/12/18/how-gpt3-works-visualizations-animations-korean.html">Korean</a>, <a href="https://blogcn.acacess.com/how-gpt3-works-visualizations-and-animations-zhong-yi">Chinese (Simplified)</a>, <a href="https://habr.com/ru/post/514698/">Russian</a></span>
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<span class="discussion">Translations: <a href="https://www.arnevogel.com/wie-gpt3-funktioniert/">German</a>, <a href="https://chloamme.github.io/2021/12/18/how-gpt3-works-visualizations-animations-korean.html">Korean</a>, <a href="https://blogcn.acacess.com/how-gpt3-works-visualizations-and-animations-zhong-yi">Chinese (Simplified)</a>, <a href="https://habr.com/ru/post/514698/">Russian</a></span>
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The tech world is [abuzz](https://www.theverge.com/21346343/gpt-3-explainer-openai-examples-errors-agi-potential) with GPT3 hype. Massive language models (like GPT3) are starting to surprise us with their abilities. While not yet completely reliable for most businesses to put in front of their customers, these models are showing sparks of cleverness that are sure to accelerate the march of automation and the possibilities of intelligent computer systems. Let's remove the aura of mystery around GPT3 and learn how it's trained and how it works.

‎_posts/2021-12-27-illustrated-retro.md

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title: The Illustrated Retro Transformer
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Translations: <a href="https://chloamme.github.io/2022/01/08/illustrated-retrieval-transformer-korean.html">Korean</a>
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looking at DeepMind's Retro Transformer, which at 7.5B parameters is on par with GPT3 and models 25X its size in knowledge-intensive tasks.
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A big moment for Large Language Models (LLMs) for reasons I'll mention in this thread.

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