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#word2vec

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Harald Sack<p>Next stop in our NLP timeline is 2013, the introduction of low dimensional dense word vectors - so-called "word embeddings" - based on distributed semantics, as e.g. word2vec by Mikolov et al. from Google, which enabled representation learning on text.</p><p>T. Mikolov et al. (2013). Efficient Estimation of Word Representations in Vector Space. <br><a href="https://arxiv.org/abs/1301.3781" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">arxiv.org/abs/1301.3781</span><span class="invisible"></span></a></p><p><a href="https://sigmoid.social/tags/NLP" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>NLP</span></a> <a href="https://sigmoid.social/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AI</span></a> <a href="https://sigmoid.social/tags/wordembeddings" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>wordembeddings</span></a> <a href="https://sigmoid.social/tags/word2vec" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>word2vec</span></a> <a href="https://sigmoid.social/tags/ise2025" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ise2025</span></a> <a href="https://sigmoid.social/tags/historyofscience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>historyofscience</span></a> <span class="h-card" translate="no"><a href="https://wisskomm.social/@fiz_karlsruhe" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>fiz_karlsruhe</span></a></span> <span class="h-card" translate="no"><a href="https://sigmoid.social/@fizise" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>fizise</span></a></span> <span class="h-card" translate="no"><a href="https://fedihum.org/@tabea" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>tabea</span></a></span> <span class="h-card" translate="no"><a href="https://fedihum.org/@sourisnumerique" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>sourisnumerique</span></a></span> <span class="h-card" translate="no"><a href="https://sigmoid.social/@enorouzi" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>enorouzi</span></a></span></p>
Habr<p>Ведущий разработчик ChatGPT и его новый проект — Безопасный Сверхинтеллект</p><p>Многие знают об Илье Суцкевере только то, что он выдающийся учёный и программист, родился в СССР, соосновал OpenAI и входит в число тех, кто в 2023 году изгнал из компании менеджера Сэма Альтмана. А когда того вернули, Суцкевер уволился по собственному желанию в новый стартап Safe Superintelligence («Безопасный Сверхинтеллект»). Илья Суцкевер действительно организовал OpenAI вместе с Маском, Брокманом, Альтманом и другими единомышленниками, причём был главным техническим гением в компании. Ведущий учёный OpenAI сыграл ключевую роль в разработке ChatGPT и других продуктов. Сейчас Илье всего 38 лет — совсем немного для звезды мировой величины.</p><p><a href="https://habr.com/ru/companies/ruvds/articles/892646/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">habr.com/ru/companies/ruvds/ar</span><span class="invisible">ticles/892646/</span></a></p><p><a href="https://zhub.link/tags/%D0%98%D0%BB%D1%8C%D1%8F_%D0%A1%D1%83%D1%86%D0%BA%D0%B5%D0%B2%D0%B5%D1%80" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Илья_Суцкевер</span></a> <a href="https://zhub.link/tags/Ilya_Sutskever" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Ilya_Sutskever</span></a> <a href="https://zhub.link/tags/OpenAI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>OpenAI</span></a> <a href="https://zhub.link/tags/10x_engineer" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>10x_engineer</span></a> <a href="https://zhub.link/tags/AlexNet" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AlexNet</span></a> <a href="https://zhub.link/tags/Safe_Superintelligence" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Safe_Superintelligence</span></a> <a href="https://zhub.link/tags/ImageNet" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ImageNet</span></a> <a href="https://zhub.link/tags/%D0%BD%D0%B5%D0%BE%D0%BA%D0%BE%D0%B3%D0%BD%D0%B8%D1%82%D1%80%D0%BE%D0%BD" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>неокогнитрон</span></a> <a href="https://zhub.link/tags/GPU" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>GPU</span></a> <a href="https://zhub.link/tags/GPGPU" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>GPGPU</span></a> <a href="https://zhub.link/tags/CUDA" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>CUDA</span></a> <a href="https://zhub.link/tags/%D0%BA%D0%BE%D0%BC%D0%BF%D1%8C%D1%8E%D1%82%D0%B5%D1%80%D0%BD%D0%BE%D0%B5_%D0%B7%D1%80%D0%B5%D0%BD%D0%B8%D0%B5" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>компьютерное_зрение</span></a> <a href="https://zhub.link/tags/LeNet" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>LeNet</span></a> <a href="https://zhub.link/tags/Nvidia_GTX" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Nvidia_GTX</span></a>&nbsp;580 <a href="https://zhub.link/tags/DNNResearch" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DNNResearch</span></a> <a href="https://zhub.link/tags/Google_Brain" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Google_Brain</span></a> <a href="https://zhub.link/tags/%D0%90%D0%BB%D0%B5%D0%BA%D1%81_%D0%9A%D1%80%D0%B8%D0%B6%D0%B5%D0%B2%D1%81%D0%BA%D0%B8" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Алекс_Крижевски</span></a> <a href="https://zhub.link/tags/%D0%94%D0%B6%D0%B5%D1%84%D1%84%D1%80%D0%B8_%D0%A5%D0%B8%D0%BD%D1%82%D0%BE%D0%BD" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Джеффри_Хинтон</span></a> <a href="https://zhub.link/tags/Seq2seq" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Seq2seq</span></a> <a href="https://zhub.link/tags/TensorFlow" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>TensorFlow</span></a> <a href="https://zhub.link/tags/AlphaGo" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AlphaGo</span></a> <a href="https://zhub.link/tags/%D0%A2%D0%BE%D0%BC%D0%B0%D1%88_%D0%9C%D0%B8%D0%BA%D0%BE%D0%BB%D0%BE%D0%B2" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Томаш_Миколов</span></a> <a href="https://zhub.link/tags/Word2vec" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Word2vec</span></a> <a href="https://zhub.link/tags/fewshot_learning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>fewshot_learning</span></a> <a href="https://zhub.link/tags/%D0%BC%D0%B0%D1%88%D0%B8%D0%BD%D0%B0_%D0%91%D0%BE%D0%BB%D1%8C%D1%86%D0%BC%D0%B0%D0%BD%D0%B0" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>машина_Больцмана</span></a> <a href="https://zhub.link/tags/%D1%81%D0%B2%D0%B5%D1%80%D1%85%D0%B8%D0%BD%D1%82%D0%B5%D0%BB%D0%BB%D0%B5%D0%BA%D1%82" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>сверхинтеллект</span></a> <a href="https://zhub.link/tags/GPT" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>GPT</span></a> <a href="https://zhub.link/tags/ChatGPT" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ChatGPT</span></a> <a href="https://zhub.link/tags/ruvds_%D1%81%D1%82%D0%B0%D1%82%D1%8C%D0%B8" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ruvds_статьи</span></a></p>
Steve Leach<p><span class="h-card" translate="no"><a href="https://sauropods.win/@futurebird" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>futurebird</span></a></span> <span class="h-card" translate="no"><a href="https://kolektiva.social/@krozruch" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>krozruch</span></a></span> That might be very interesting trained on large enough corpus... Who, for instance is exactly between A and B in "thought-space" and can they understand both sides and help bridge communication? Who is in the space further along the distance from group A and B but more extreme in both directions? Think <a href="https://sigmoid.social/tags/Word2Vec" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Word2Vec</span></a> math... with writers voices and thinking. Then feed <a href="https://sigmoid.social/tags/politicians" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>politicians</span></a> words in and see where they are relative to public thoughtspace, etc..</p>
mthpvg<p><a href="https://fchollet.substack.com/p/how-i-think-about-llm-prompt-engineering" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">fchollet.substack.com/p/how-i-</span><span class="invisible">think-about-llm-prompt-engineering</span></a></p><p>"Word2vec enabled you to do basic things like plural(cat) → cats or male_to_female(king) → queen. Meanwhile LLMs can do pure magic — things like write_this_in_style_of_shakespeare(“…your poem…”) → “…new poem…”. And they contain millions of such programs."</p><p><a href="https://mastodon.social/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AI</span></a> <a href="https://mastodon.social/tags/LLM" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>LLM</span></a> <a href="https://mastodon.social/tags/word2vec" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>word2vec</span></a> <a href="https://mastodon.social/tags/VectorPrograms" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>VectorPrograms</span></a></p>
:rss: Hacker News<p>An In-Depth Guide to Contrastive Learning: Techniques, Models, and Applications<br><a href="https://myscale.com/blog/what-is-contrastive-learning/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">myscale.com/blog/what-is-contr</span><span class="invisible">astive-learning/</span></a><br><a href="https://rss-mstdn.studiofreesia.com/tags/ycombinator" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ycombinator</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/myscale" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>myscale</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/myscale_database" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>myscale_database</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/myscale_vector_database" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>myscale_vector_database</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/myscale_ai" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>myscale_ai</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/myscale_vector" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>myscale_vector</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/myscale_illustration" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>myscale_illustration</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/image_search" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>image_search</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/vector" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>vector</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/search_console" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>search_console</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/database" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>database</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/sql" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>sql</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/search_engine" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>search_engine</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/gpt_4" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>gpt_4</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/gpt_3" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>gpt_3</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/dbms" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>dbms</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/high_performance" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>high_performance</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/vector_images" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>vector_images</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/vector_art" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>vector_art</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/vector_graphics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>vector_graphics</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/llm" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>llm</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/word2vec" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>word2vec</span></a></p>
Joachim Scharloth<p><a href="https://chaos.social/tags/WordEmbeddings" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>WordEmbeddings</span></a> - läuft...</p><p><a href="https://chaos.social/tags/word2vec" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>word2vec</span></a> <a href="https://chaos.social/tags/ki" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ki</span></a> <a href="https://chaos.social/tags/ai" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ai</span></a></p>
:rss: Hacker News<p>LangChain vs. LlamaIndex<br><a href="https://myscale.com/blog/llamaindex-vs-langchain-detailed-comparison/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">myscale.com/blog/llamaindex-vs</span><span class="invisible">-langchain-detailed-comparison/</span></a><br><a href="https://rss-mstdn.studiofreesia.com/tags/ycombinator" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ycombinator</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/myscale" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>myscale</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/myscale_database" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>myscale_database</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/myscale_vector_database" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>myscale_vector_database</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/myscale_ai" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>myscale_ai</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/myscale_vector" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>myscale_vector</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/myscale_illustration" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>myscale_illustration</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/image_search" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>image_search</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/vector" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>vector</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/search_console" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>search_console</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/database" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>database</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/sql" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>sql</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/search_engine" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>search_engine</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/gpt_4" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>gpt_4</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/gpt_3" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>gpt_3</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/dbms" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>dbms</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/high_performance" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>high_performance</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/vector_images" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>vector_images</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/vector_art" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>vector_art</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/vector_graphics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>vector_graphics</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/llm" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>llm</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/word2vec" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>word2vec</span></a></p>
Steve Leach<p>By vector math, recall <a href="https://sigmoid.social/tags/word2vec" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>word2vec</span></a> and nearest word to "king" - "man" + "woman" = "queen".</p><p>Learn a <a href="https://sigmoid.social/tags/vector" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>vector</span></a> representation for writers, philosophers, <a href="https://sigmoid.social/tags/political" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>political</span></a> leaders and voices. </p><p>Map them and show a visualization of where major figures fall on this vector-space of their words.</p><p>Plug in writers who's ideas you like, average them and find the vector at the center and find others in that thought space.</p><p>Do the reverse - map voices you hate and see where they are and who's in between, etc.</p>
Digital Human ✔<p>Hoe neuronen taal verwerken: een diepgaand onderzoek <a href="https://www.trendingtech.news/trending-news/2024/07/23126/hoe-neuronen-taal-verwerken-een-diepgaand-onderzoek" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">trendingtech.news/trending-new</span><span class="invisible">s/2024/07/23126/hoe-neuronen-taal-verwerken-een-diepgaand-onderzoek</span></a> <a href="https://mastodon.social/tags/neuronale" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>neuronale</span></a> taalverwerking <a href="https://mastodon.social/tags/Neuropixel" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Neuropixel</span></a> sondes <a href="https://mastodon.social/tags/Word2Vec" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Word2Vec</span></a>-techniek <a href="https://mastodon.social/tags/semantische" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>semantische</span></a> domeinen <a href="https://mastodon.social/tags/cognitieve" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>cognitieve</span></a> functies <a href="https://mastodon.social/tags/Trending" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Trending</span></a> <a href="https://mastodon.social/tags/News" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>News</span></a> <a href="https://mastodon.social/tags/Nieuws" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Nieuws</span></a></p>
Tushar Chauhan<p>LLMs and puzzles. An interesting read.</p><p><a href="https://pivot-to-ai.com/2024/07/06/llms-can-solve-any-word-problem-as-long-as-they-can-crib-the-answer/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">pivot-to-ai.com/2024/07/06/llm</span><span class="invisible">s-can-solve-any-word-problem-as-long-as-they-can-crib-the-answer/</span></a></p><p>Apparently biology and intelligence doesn't bend to the will of storytellers. </p><p>Meanwhile, the word2vec yarn-spinning continues...</p><p><a href="https://mastodon.mit.edu/tags/llm" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>llm</span></a> <a href="https://mastodon.mit.edu/tags/word2vec" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>word2vec</span></a> <a href="https://mastodon.mit.edu/tags/ai" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ai</span></a> <a href="https://mastodon.mit.edu/tags/puzzles" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>puzzles</span></a></p>
Habr<p>Что такое векторизация текста в NLP и какая она бывает: One-hot encoding, Bag of words, TF-IDF, Word2Vec, BERT и другие</p><p>Привет, Хабр! Меня зовут Александр Троицкий, я автор канала AI для чайников , и в этой статье я расскажу про разные способы векторизации текстов. Всем привет! Вдохновившись прикольной и понятной статьей на английском языке, и не найдя сходу чего-то похожего в русскоязычном сегменте интернета, решил написать о том, как обрабатывается текст перед тем, как на нем начинают применять разные модели ИИ. Эту статью я напишу нетехническим языком, потому что сам не технарь и не математик. Надеюсь, что она поможет узнать о NLP тем, кто не сталкивается с AI в продуктах на ежедневной основе. О чем эта статья:</p><p><a href="https://habr.com/ru/articles/820159/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">habr.com/ru/articles/820159/</span><span class="invisible"></span></a></p><p><a href="https://zhub.link/tags/Onehot_encoding" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Onehot_encoding</span></a> <a href="https://zhub.link/tags/Bag_of_words" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Bag_of_words</span></a> <a href="https://zhub.link/tags/TFIDF" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>TFIDF</span></a> <a href="https://zhub.link/tags/Word2Vec" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Word2Vec</span></a> <a href="https://zhub.link/tags/BERT" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>BERT</span></a> <a href="https://zhub.link/tags/NLP" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>NLP</span></a> <a href="https://zhub.link/tags/nlp_" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>nlp_</span></a>(natural_language_processing) <a href="https://zhub.link/tags/nlp%D0%BC%D0%BE%D0%B4%D0%B5%D0%BB%D0%B8" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>nlpмодели</span></a></p>
:rss: Hacker News<p>We were not accepted into Google Summer of Code. So, we started our own<br><a href="https://qdrant.tech/blog/qdrant-summer-of-code-24/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">qdrant.tech/blog/qdrant-summer</span><span class="invisible">-of-code-24/</span></a><br><a href="https://rss-mstdn.studiofreesia.com/tags/ycombinator" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ycombinator</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/vector_search_engine" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>vector_search_engine</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/neural_network" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>neural_network</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/matching" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>matching</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/SaaS" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>SaaS</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/approximate_nearest_neighbor_search" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>approximate_nearest_neighbor_search</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/image_search" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>image_search</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/recommender_system" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>recommender_system</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/vectors" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>vectors</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/knn_algorithm" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>knn_algorithm</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/hnsw" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>hnsw</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/vector_search" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>vector_search</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/embeddings" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>embeddings</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/similarity" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>similarity</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/simaes_networks" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>simaes_networks</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/BERT" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>BERT</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/transformer" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>transformer</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/word2vec" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>word2vec</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/fasttext" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>fasttext</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/qdrant" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>qdrant</span></a></p>
ithoughthecamewithyou.com<p>Better related posts with word2vec (C#) <a href="https://fosstodon.org/tags/code" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>code</span></a> <a href="https://fosstodon.org/tags/software" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>software</span></a> <a href="https://fosstodon.org/tags/word2vec" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>word2vec</span></a> <a href="https://fosstodon.org/tags/ithcwy" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ithcwy</span></a> <a href="https://fosstodon.org/tags/ml" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ml</span></a> How to use word2vec to create a vector representation of a blog post and then use the cosine distance between posts to select improved related posts.</p><p><a href="https://fed.brid.gy/r/https://ithoughthecamewithyou.com/post/better-related-posts-with-word2vec-c" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">fed.brid.gy/r/https://ithought</span><span class="invisible">hecamewithyou.com/post/better-related-posts-with-word2vec-c</span></a></p>
:rss: Hacker News<p>Qdrant, the Vector Search Database, raised $28M in a Series A round<br><a href="https://qdrant.tech/blog/series-a-funding-round/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">qdrant.tech/blog/series-a-fund</span><span class="invisible">ing-round/</span></a><br><a href="https://rss-mstdn.studiofreesia.com/tags/ycombinator" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ycombinator</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/vector_search_engine" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>vector_search_engine</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/neural_network" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>neural_network</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/matching" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>matching</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/SaaS" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>SaaS</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/approximate_nearest_neighbor_search" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>approximate_nearest_neighbor_search</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/image_search" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>image_search</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/recommender_system" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>recommender_system</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/vectors" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>vectors</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/knn_algorithm" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>knn_algorithm</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/hnsw" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>hnsw</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/vector_search" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>vector_search</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/embeddings" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>embeddings</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/similarity" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>similarity</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/simaes_networks" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>simaes_networks</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/BERT" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>BERT</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/transformer" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>transformer</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/word2vec" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>word2vec</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/fasttext" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>fasttext</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/qdrant" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>qdrant</span></a></p>
रञ्जित (Ranjit Mathew)<p>A bittersweet retrospective by Tomas Mikolov on <a href="https://mastodon.social/tags/word2vec" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>word2vec</span></a> after receiving the “Test Of Time” award for it at <a href="https://mastodon.social/tags/NeurIPS" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>NeurIPS</span></a>:</p><p><a href="https://www.facebook.com/1533402400/posts/yesterday-we-received-a-test-of-time-award-at-neurips-for-the-word2vec-paper-fro/10231641326366223/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">facebook.com/1533402400/posts/</span><span class="invisible">yesterday-we-received-a-test-of-time-award-at-neurips-for-the-word2vec-paper-fro/10231641326366223/</span></a></p><p>Their seminal <a href="https://mastodon.social/tags/paper" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>paper</span></a> was rejected four times 😥:</p><p><a href="https://openreview.net/forum?id=idpCdOWtqXd60" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">openreview.net/forum?id=idpCdO</span><span class="invisible">WtqXd60</span></a></p><p>Via HN: <a href="https://openreview.net/forum?id=idpCdOWtqXd60" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">openreview.net/forum?id=idpCdO</span><span class="invisible">WtqXd60</span></a></p><p><a href="https://mastodon.social/tags/ML" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ML</span></a> <a href="https://mastodon.social/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MachineLearning</span></a></p>
Habr<p>[Перевод] Краткий обзор техник векторизации в NLP</p><p>Как переводчик-редактор, я интересуюсь темой NLP и автоматизации рутины бюро переводов. Изучая вопрос того, как смысл слов превращается в векторы, наткнулся на эту обзорную статью. Статья мне показалась изложенной доступно, поэтому я перевел ее для удобства других коллег. Работоспособность большей части кода проверял, вроде работает (см. Jupiter Notebook). Надеюсь, будет полезно. === Технологии NLP — Natural Language Processing, обработки естественного языка — позволяют компьютерам обрабатывать человеческий язык, понимать его значение и контекст, а также связанные с ним эмоциональную окраску и намерения, и далее, использовать эти данные для создания чего-то нового. Как сделать слова понятными для компьютеров? Используется векторизация. Рассмотрим несколько техник такой векторизации.</p><p><a href="https://habr.com/ru/articles/778048/" rel="nofollow noopener noreferrer" target="_blank"><span class="invisible">https://</span><span class="">habr.com/ru/articles/778048/</span><span class="invisible"></span></a></p><p><a href="https://zhub.link/tags/%D1%82%D0%BE%D0%BA%D0%B5%D0%BD" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>токен</span></a> <a href="https://zhub.link/tags/%D0%B2%D0%B5%D0%BA%D1%82%D0%BE%D1%80%D0%B8%D0%B7%D0%B0%D1%86%D0%B8%D1%8F" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>векторизация</span></a> <a href="https://zhub.link/tags/fasttext" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>fasttext</span></a> <a href="https://zhub.link/tags/word2vec" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>word2vec</span></a> <a href="https://zhub.link/tags/glove" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>glove</span></a> <a href="https://zhub.link/tags/CBOW" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>CBOW</span></a> <a href="https://zhub.link/tags/skipgram" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>skipgram</span></a> <a href="https://zhub.link/tags/tfidf" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>tfidf</span></a> <a href="https://zhub.link/tags/nlp_" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>nlp_</span></a>(natural_language_processing)</p>
Dirk Van den Poel<p>My online lecture of the <a href="https://mastodon.online/tags/BigData" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>BigData</span></a> class is on using <a href="https://mastodon.online/tags/PySpark" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>PySpark</span></a> for machine learning using Spark <a href="https://mastodon.online/tags/NLP" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>NLP</span></a> (natural language processing) for <a href="https://mastodon.online/tags/classification" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>classification</span></a> and <a href="https://mastodon.online/tags/regression" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>regression</span></a>. <a href="https://mastodon.online/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MachineLearning</span></a> <a href="https://mastodon.online/tags/orms" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>orms</span></a> <a href="https://mastodon.online/tags/python" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>python</span></a> <a href="https://mastodon.online/tags/DataScience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DataScience</span></a> <a href="https://mastodon.online/tags/dataanalytics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>dataanalytics</span></a> <a href="https://mastodon.online/tags/jupyter" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>jupyter</span></a> <a href="https://mastodon.online/tags/notebook" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>notebook</span></a> <a href="https://mastodon.online/tags/randomforest" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>randomforest</span></a> <a href="https://mastodon.online/tags/word2vec" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>word2vec</span></a> <a href="https://mastodon.online/tags/opensource" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>opensource</span></a></p>
Harald Sack<p>Today's <a href="https://sigmoid.social/tags/ise2023" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ise2023</span></a> lecture was focusing on Naive Bayes Classification, POS Tagging, and distributional semantics with Word Embeddings</p><p><a href="https://drive.google.com/drive/folders/11Z3_UGQjGONyHyZbj_kIdgT-LglZH4Ob" rel="nofollow noopener noreferrer" target="_blank"><span class="invisible">https://</span><span class="ellipsis">drive.google.com/drive/folders</span><span class="invisible">/11Z3_UGQjGONyHyZbj_kIdgT-LglZH4Ob</span></a></p><p><a href="https://sigmoid.social/tags/nlp" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>nlp</span></a> <a href="https://sigmoid.social/tags/lecture" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>lecture</span></a> <a href="https://sigmoid.social/tags/classification" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>classification</span></a> <a href="https://sigmoid.social/tags/wordembeddings" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>wordembeddings</span></a> <a href="https://sigmoid.social/tags/languagemodels" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>languagemodels</span></a> <a href="https://sigmoid.social/tags/word2vec" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>word2vec</span></a> <a href="https://sigmoid.social/tags/hiddenMarkovModel" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>hiddenMarkovModel</span></a> <a href="https://sigmoid.social/tags/distributionalsemantics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>distributionalsemantics</span></a> <span class="h-card"><a href="https://sigmoid.social/@fizise" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>fizise</span></a></span> <span class="h-card"><a href="https://mastodon.social/@KIT_Karlsruhe" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>KIT_Karlsruhe</span></a></span> <a href="https://sigmoid.social/tags/stablediffusionart" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>stablediffusionart</span></a> <a href="https://sigmoid.social/tags/creativeAI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>creativeAI</span></a></p>
aijobs.net<p>HIRING: Machine Learning Consultant (AI-Driven Sports Coaching) / Remote <a href="https://ai-jobs.net/job/48114-machine-learning-consultant-ai-driven-sports-coaching/" rel="nofollow noopener noreferrer" target="_blank"><span class="invisible">https://</span><span class="ellipsis">ai-jobs.net/job/48114-machine-</span><span class="invisible">learning-consultant-ai-driven-sports-coaching/</span></a> <a href="https://mstdn.social/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AI</span></a> <a href="https://mstdn.social/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MachineLearning</span></a> <a href="https://mstdn.social/tags/DataJobs" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DataJobs</span></a> <a href="https://mstdn.social/tags/AIcareers" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AIcareers</span></a> <a href="https://mstdn.social/tags/MLjobs" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MLjobs</span></a> <a href="https://mstdn.social/tags/bigdata" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>bigdata</span></a> <a href="https://mstdn.social/tags/DataScience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DataScience</span></a> <a href="https://mstdn.social/tags/AIjobs" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AIjobs</span></a> <a href="https://mstdn.social/tags/hiringnow" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>hiringnow</span></a> <a href="https://mstdn.social/tags/RemoteJob" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>RemoteJob</span></a> <a href="https://mstdn.social/tags/APIs" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>APIs</span></a> <a href="https://mstdn.social/tags/Architecture" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Architecture</span></a> <a href="https://mstdn.social/tags/Word2Vec" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Word2Vec</span></a> <a href="https://mstdn.social/tags/GloVe" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>GloVe</span></a> <a href="https://mstdn.social/tags/gpt" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>gpt</span></a> <a href="https://mstdn.social/tags/gpt4" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>gpt4</span></a> <a href="https://mstdn.social/tags/BERT" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>BERT</span></a></p>
Markus Reiter-Haas<p>We recently concluded the first year of teaching Advanced Information Retrieval <span class="h-card"><a href="https://graz.social/@elex" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>elex</span></a></span> and want to highlight five projects from the class: <a href="https://socialcomplab.github.io/advancedIR-2022-showcase/" rel="nofollow noopener noreferrer" target="_blank"><span class="invisible">https://</span><span class="ellipsis">socialcomplab.github.io/advanc</span><span class="invisible">edIR-2022-showcase/</span></a> </p><p>The projects are diverse regarding what aspects of information retrieval they cover, the models used, and their domain, such as <a href="https://mastodon.online/tags/Transformers" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Transformers</span></a>, re-<a href="https://mastodon.online/tags/ranking" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ranking</span></a>, <a href="https://mastodon.online/tags/BERT" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>BERT</span></a> opic, summarization, translation, <a href="https://mastodon.online/tags/Word2Vec" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Word2Vec</span></a>, content analysis, <a href="https://mastodon.online/tags/IR" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>IR</span></a> pipelines, <a href="https://mastodon.online/tags/T5" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>T5</span></a>, <a href="https://mastodon.online/tags/programming" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>programming</span></a> languages, misinformation, <a href="https://mastodon.online/tags/sBERT" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>sBERT</span></a>, tokenizers and encoders.</p>
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