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#languagemodels

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The-14<p>AI might now be as good as humans at detecting emotion, political leaning and sarcasm in online conversations<br><a href="https://mastodon.world/tags/Tech" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Tech</span></a> <a href="https://mastodon.world/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> <a href="https://mastodon.world/tags/ChatGPT" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ChatGPT</span></a> <a href="https://mastodon.world/tags/GPT4" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>GPT4</span></a> <a href="https://mastodon.world/tags/EmotionDetection" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>EmotionDetection</span></a> <a href="https://mastodon.world/tags/SarcasmDetection" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SarcasmDetection</span></a> <a href="https://mastodon.world/tags/PoliticalBias" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>PoliticalBias</span></a> <a href="https://mastodon.world/tags/LanguageModels" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LanguageModels</span></a> <a href="https://mastodon.world/tags/TechEthics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>TechEthics</span></a> <a href="https://mastodon.world/tags/LLM" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LLM</span></a> <a href="https://mastodon.world/tags/AIResearch" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AIResearch</span></a> <a href="https://mastodon.world/tags/FutureOfAI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>FutureOfAI</span></a><br><a href="https://the-14.com/ai-might-now-be-as-good-as-humans-at-detecting-emotion-political-leaning-and-sarcasm-in-online-conversations/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">the-14.com/ai-might-now-be-as-</span><span class="invisible">good-as-humans-at-detecting-emotion-political-leaning-and-sarcasm-in-online-conversations/</span></a></p>
Harald Sack<p>Building on the 90s, statistical n-gram language models, trained on vast text collections, became the backbone of NLP research. They fueled advancements in nearly all NLP techniques of the era, laying the groundwork for today's AI. </p><p>F. Jelinek (1997), Statistical Methods for Speech Recognition, MIT Press, Cambridge, MA</p><p><a href="https://sigmoid.social/tags/NLP" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NLP</span></a> <a href="https://sigmoid.social/tags/LanguageModels" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LanguageModels</span></a> <a href="https://sigmoid.social/tags/HistoryOfAI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>HistoryOfAI</span></a> <a href="https://sigmoid.social/tags/TextProcessing" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>TextProcessing</span></a> <a href="https://sigmoid.social/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> <a href="https://sigmoid.social/tags/historyofscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>historyofscience</span></a> <a href="https://sigmoid.social/tags/ISE2025" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ISE2025</span></a> <span class="h-card" translate="no"><a href="https://sigmoid.social/@fizise" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>fizise</span></a></span> <span class="h-card" translate="no"><a href="https://wisskomm.social/@fiz_karlsruhe" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>fiz_karlsruhe</span></a></span> <span class="h-card" translate="no"><a href="https://fedihum.org/@tabea" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>tabea</span></a></span> <span class="h-card" translate="no"><a href="https://sigmoid.social/@enorouzi" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>enorouzi</span></a></span> <span class="h-card" translate="no"><a href="https://fedihum.org/@sourisnumerique" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>sourisnumerique</span></a></span></p>
Erika Varis Doggett<p>At <a href="https://mas.to/tags/NAACL" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NAACL</span></a> this week and I’m delighted to see the name change to “Nations of the Americas” as well as the special theme for this year of multi- and cross-culturalism in <a href="https://mas.to/tags/NLP" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NLP</span></a>. </p><p><a href="https://mas.to/tags/NLProc" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NLProc</span></a> <a href="https://mas.to/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> <a href="https://mas.to/tags/LLMs" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LLMs</span></a> <a href="https://mas.to/tags/LanguageModels" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LanguageModels</span></a> <a href="https://mas.to/tags/CompLing" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>CompLing</span></a> <a href="https://mas.to/tags/ComputationalLinguistics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ComputationalLinguistics</span></a></p>
Bruce Sterling @bruces<p>*Machine translation efforts circa 1960. <a href="https://mastodon.social/tags/network" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>network</span></a> <a href="https://mastodon.social/tags/cybernetics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>cybernetics</span></a> <a href="https://mastodon.social/tags/primevalAI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>primevalAI</span></a> <a href="https://mastodon.social/tags/languagemodels" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>languagemodels</span></a></p>
Jorge Arango<p>I'm committed to revealing more strategic and valuable uses for AI. Information architects are essential! With this in mind, I'm offering a new workshop to teach the basics of working with AI. There are limited spots, reserve yours now: <a href="https://store.jarango.com/ai-beyond-chat" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">store.jarango.com/ai-beyond-ch</span><span class="invisible">at</span></a></p><p><a href="https://mastodon.social/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> <a href="https://mastodon.social/tags/GenerativeAI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>GenerativeAI</span></a> <a href="https://mastodon.social/tags/LLM" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LLM</span></a> <a href="https://mastodon.social/tags/LanguageModels" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LanguageModels</span></a> <a href="https://mastodon.social/tags/InformationArchitecture" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>InformationArchitecture</span></a> <a href="https://mastodon.social/tags/UX" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>UX</span></a></p>
Andrew Lampinen<p>Very excited to share a substantially updated version of our preprint “Language models show human-like content effects on reasoning tasks!” TL;DR: LMs and humans show strikingly similar patterns in how the content of a logic problem affects their answers. Thread: 1/10<br><a href="https://sigmoid.social/tags/LanguageModels" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LanguageModels</span></a> <a href="https://sigmoid.social/tags/lms" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>lms</span></a> <a href="https://sigmoid.social/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> <a href="https://sigmoid.social/tags/cogsci" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>cogsci</span></a> <a href="https://sigmoid.social/tags/machinelearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>machinelearning</span></a> <a href="https://sigmoid.social/tags/nlp" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>nlp</span></a> <a href="https://sigmoid.social/tags/nlproc" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>nlproc</span></a> <a href="https://sigmoid.social/tags/cognitivescience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>cognitivescience</span></a></p>
Nextcloud 📱☁️💻<p>😲Did you know compliments can influence large-language models?</p><p>They're even open to Argentinian Spanish &amp; Swiss German slang. </p><p>Discover how Nextcloud AI is tackling ethical concerns differently: <br><a href="https://mastodon.xyz/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> <a href="https://mastodon.xyz/tags/EthicalAI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>EthicalAI</span></a> <a href="https://mastodon.xyz/tags/LanguageModels" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LanguageModels</span></a> </p><p><a href="https://nextcloud.com/blog/nextcloud-ethical-ai-rating/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">nextcloud.com/blog/nextcloud-e</span><span class="invisible">thical-ai-rating/</span></a></p>
Harald Sack<p>Next important step in our brief history of (large) <a href="https://sigmoid.social/tags/languagemodels" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>languagemodels</span></a> is the use of word embeddings, i.e. mapping words onto dense vector spaces while preserving their semantics in terms of vector distances allowing for analogies via vector arithmetics.<br>In 2013 Word2Vec was introduced by Mikolov et al. <br>Slides: <a href="https://drive.google.com/file/d/1atNvMYNkeKDwXP3olHXzloa09S5pzjXb/view?usp=drive_link" rel="nofollow noopener" target="_blank"><span class="invisible">https://</span><span class="ellipsis">drive.google.com/file/d/1atNvM</span><span class="invisible">YNkeKDwXP3olHXzloa09S5pzjXb/view?usp=drive_link</span></a><br><span class="h-card"><a href="https://sigmoid.social/@fizise" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>fizise</span></a></span> <a href="https://sigmoid.social/tags/llm" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>llm</span></a> <a href="https://sigmoid.social/tags/ai" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ai</span></a> <a href="https://sigmoid.social/tags/artificialintelligence" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>artificialintelligence</span></a> <a href="https://sigmoid.social/tags/wordembeddings" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>wordembeddings</span></a> <a href="https://sigmoid.social/tags/machinelearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>machinelearning</span></a> <a href="https://sigmoid.social/tags/lecture" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>lecture</span></a></p>
beSpacific<p>CodeIPPrompt: <a href="https://newsie.social/tags/IntellectualPropertyInfringemet" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>IntellectualPropertyInfringemet</span></a> Assessment of <a href="https://newsie.social/tags/Code" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Code</span></a> <a href="https://newsie.social/tags/LanguageModels" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LanguageModels</span></a> In this paper, we aim to bridge the gap by presenting <a href="https://newsie.social/tags/CodeIPPrompt" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>CodeIPPrompt</span></a>, a platform for automatic evaluation of the extent to which code language models may reproduce licensed programs <a href="https://sites.google.com/view/codeipprompt" rel="nofollow noopener" target="_blank"><span class="invisible">https://</span><span class="ellipsis">sites.google.com/view/codeippr</span><span class="invisible">ompt</span></a> <a href="https://newsie.social/tags/IP" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>IP</span></a> <a href="https://newsie.social/tags/legalresearch" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>legalresearch</span></a> <a href="https://newsie.social/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> <a href="https://newsie.social/tags/IP" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>IP</span></a> <a href="https://newsie.social/tags/violations" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>violations</span></a> <a href="https://newsie.social/tags/trainingcorpus" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>trainingcorpus</span></a></p>
beSpacific<p>Robotics@Google - a quiet revolution is underway in <a href="https://newsie.social/tags/robotics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>robotics</span></a> 1 that piggybacks on recent advances in so-called <a href="https://newsie.social/tags/largelanguage" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>largelanguage</span></a> models the same type of <a href="https://newsie.social/tags/artificialintelligence" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>artificialintelligence</span></a> system that powers <a href="https://newsie.social/tags/ChatGPT" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ChatGPT</span></a>, <a href="https://newsie.social/tags/Bard" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Bard</span></a> and other <a href="https://newsie.social/tags/chatbots" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>chatbots</span></a>. <a href="https://newsie.social/tags/Google" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Google</span></a> has recently begun plugging state-of-the-art <a href="https://newsie.social/tags/languagemodels" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>languagemodels</span></a> into its <a href="https://newsie.social/tags/robots" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>robots</span></a>, giving them equivalent of <a href="https://newsie.social/tags/artificial" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>artificial</span></a> <a href="https://newsie.social/tags/brains" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>brains</span></a>. Secretive project has made the robots far smarter and given them new powers of understanding &amp; <a href="https://newsie.social/tags/problemsolving" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>problemsolving</span></a> <a href="https://www.nytimes.com/2023/07/28/technology/google-robots-ai.html" rel="nofollow noopener" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">nytimes.com/2023/07/28/technol</span><span class="invisible">ogy/google-robots-ai.html</span></a></p>
Michał "rysiek" Woźniak · 🇺🇦<p>Dear <a href="https://mstdn.social/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> <a href="https://mstdn.social/tags/Fediverse" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Fediverse</span></a>, there's been some buzz recently about <a href="https://mstdn.social/tags/LanguageModels" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LanguageModels</span></a> that are not gigantic black boxes, and <a href="https://mstdn.social/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MachineLearning</span></a> in general, developed as <a href="https://mstdn.social/tags/FLOSS" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>FLOSS</span></a>.</p><p>There's this Google internal document, for example, that points out FLOSS community is close to eating Google's and OpenAI's cake:<br>ttps://www.semianalysis.com/p/google-we-have-no-moat-and-neither</p><p>So here is my question to you:</p><p>What are the best examples of *useful*, *small*, *on-device* models already out there?</p><p>:boost_requested:</p>
Cory DoctorowLong thread/4
Lewis Westbury 💛💙🌱<p>Come and apply your <a href="https://mastodon.social/tags/GenerativeAI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>GenerativeAI</span></a> <a href="https://mastodon.social/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MachineLearning</span></a> skills to social good at Nesta! <a href="https://www.nesta.org.uk/procurement-and-invitations-tender/call-for-an-expert-to-harness-generative-ai-for-social-good/" rel="nofollow noopener" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">nesta.org.uk/procurement-and-i</span><span class="invisible">nvitations-tender/call-for-an-expert-to-harness-generative-ai-for-social-good/</span></a></p><p><a href="https://mastodon.social/tags/ML" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ML</span></a> <a href="https://mastodon.social/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> <a href="https://mastodon.social/tags/GPT" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>GPT</span></a> <a href="https://mastodon.social/tags/TechForGood" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>TechForGood</span></a> <a href="https://mastodon.social/tags/Jobs" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Jobs</span></a> <a href="https://mastodon.social/tags/LanguageModels" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LanguageModels</span></a> <a href="https://mastodon.social/tags/LargeLanguageModels" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LargeLanguageModels</span></a> <a href="https://mastodon.social/tags/LLM" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LLM</span></a> <a href="https://mastodon.social/tags/ChatGPT" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ChatGPT</span></a> <a href="https://mastodon.social/tags/Intelligence" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Intelligence</span></a> <a href="https://mastodon.social/tags/ArtificialIntelligence" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ArtificialIntelligence</span></a> <a href="https://mastodon.social/tags/GPT4" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>GPT4</span></a></p>
Dmitri ☕️Off topic poll
Norobiik @Norobiik@noc.social<p>The possibility of improving smart home control by using <a href="https://noc.social/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> <a href="https://noc.social/tags/LanguageModels" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LanguageModels</span></a> to parse <a href="https://noc.social/tags/NaturalLanguage" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NaturalLanguage</span></a> is tantalizing. Capecelatro thinks it’s the future. ”We’re trying to figure out how good we can get it in controlling your environment in a more natural and intuitive way,” he says. </p><p>A <a href="https://noc.social/tags/ChatGPT" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ChatGPT</span></a>-powered <a href="https://noc.social/tags/SmartHome" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SmartHome</span></a> <a href="https://noc.social/tags/VoiceAssistant" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>VoiceAssistant</span></a> may soon be a reality | <a href="https://noc.social/tags/GenerativeAI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>GenerativeAI</span></a> | The Verge<br><a href="https://www.theverge.com/2023/2/24/23613382/chatgpt-smart-home-josh-ai-voice-assistant-demo" rel="nofollow noopener" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">theverge.com/2023/2/24/2361338</span><span class="invisible">2/chatgpt-smart-home-josh-ai-voice-assistant-demo</span></a></p>
Daniel Fleischer<p>Hi everyone 👋 ! I'm Daniel and I'm doing research in the field of efficient <a href="https://sigmoid.social/tags/nlp" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>nlp</span></a> and <a href="https://sigmoid.social/tags/informationretrieval" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>informationretrieval</span></a>, using <a href="https://sigmoid.social/tags/languagemodels" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>languagemodels</span></a> 🤗 . Working at <a href="https://sigmoid.social/tags/intellabs" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>intellabs</span></a> 💻 . Dipping my toes in social and mastodon. </p><p>My background is <a href="https://sigmoid.social/tags/physics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>physics</span></a> 🧪, <a href="https://sigmoid.social/tags/opensource" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>opensource</span></a> advocate 🐍.</p><p><a href="https://sigmoid.social/tags/Introduction" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Introduction</span></a></p>
Iris van Rooij 💭<p>📝 New blogpost: "Stop feeding the hype and start resisting" <a href="https://scholar.social/tags/ChatGPT" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ChatGPT</span></a> <a href="https://scholar.social/tags/StochasticParrots" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>StochasticParrots</span></a> <a href="https://scholar.social/tags/LanguageModels" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LanguageModels</span></a> <a href="https://scholar.social/tags/HigherEducation" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>HigherEducation</span></a> <a href="https://scholar.social/tags/AIEthics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AIEthics</span></a> <a href="https://irisvanrooijcogsci.com/2023/01/14/stop-feeding-the-hype-and-start-resisting/" rel="nofollow noopener" target="_blank"><span class="invisible">https://</span><span class="ellipsis">irisvanrooijcogsci.com/2023/01</span><span class="invisible">/14/stop-feeding-the-hype-and-start-resisting/</span></a></p>
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