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LavX News<p>Exploring the Syntax-Semantics Interface: Language Models Struggle with Chinese Reflexive Binding</p><p>A recent study investigates how well language models can navigate the intricate binding rules of the Mandarin Chinese reflexive 'ziji'. Despite advancements, current models fall short of human-like un...</p><p><a href="https://news.lavx.hu/article/exploring-the-syntax-semantics-interface-language-models-struggle-with-chinese-reflexive-binding" rel="nofollow noopener noreferrer" target="_blank"><span class="invisible">https://</span><span class="ellipsis">news.lavx.hu/article/exploring</span><span class="invisible">-the-syntax-semantics-interface-language-models-struggle-with-chinese-reflexive-binding</span></a></p><p><a href="https://mastodon.cloud/tags/news" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>news</span></a> <a href="https://mastodon.cloud/tags/tech" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>tech</span></a> <a href="https://mastodon.cloud/tags/NLP" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>NLP</span></a> <a href="https://mastodon.cloud/tags/LanguageModels" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>LanguageModels</span></a> <a href="https://mastodon.cloud/tags/ChineseLinguistics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ChineseLinguistics</span></a></p>
Andy Tseng<p>Bigger isn’t always better, <a class="hashtag" href="https://bsky.app/search?q=%23SmallLanguageModels" rel="nofollow noopener noreferrer" target="_blank">#SmallLanguageModels</a> are gaining traction as cheaper, faster options that excel in targeted, domain-specific tasks. It’s about choosing the right-sized tool for the job. <a class="hashtag" href="https://bsky.app/search?q=%23AI" rel="nofollow noopener noreferrer" target="_blank">#AI</a> <a class="hashtag" href="https://bsky.app/search?q=%23SLM" rel="nofollow noopener noreferrer" target="_blank">#SLM</a> <a class="hashtag" href="https://bsky.app/search?q=%23NLP" rel="nofollow noopener noreferrer" target="_blank">#NLP</a> <a class="hashtag" href="https://bsky.app/search?q=%23MachineLearning" rel="nofollow noopener noreferrer" target="_blank">#MachineLearning</a> <a class="hashtag" href="https://bsky.app/search?q=%23ResearchSky" rel="nofollow noopener noreferrer" target="_blank">#ResearchSky</a><br><br><a href="https://www.wired.com/story/why-researchers-are-turning-to-small-language-models/" rel="nofollow noopener noreferrer" target="_blank">Small Language Models Are the ...</a></p>
petersuber<p>Update. In the fields of <a href="https://fediscience.org/tags/NLP" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>NLP</span></a> and <a href="https://fediscience.org/tags/LIS" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>LIS</span></a>, "papers with different <a href="https://fediscience.org/tags/gender" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>gender</span></a> compositions achieve varying numbers of citations, with mixed-gender collaborations gradually obtaining higher average citation counts compared to same-gender collaborations."<br><a href="https://doi.org/10.1016/j.joi.2025.101662" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">doi.org/10.1016/j.joi.2025.101</span><span class="invisible">662</span></a></p>
boredsquirrel<p><span class="h-card" translate="no"><a href="https://mastodon.social/@gael" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>gael</span></a></span> </p><p>Tbh, <a href="https://tux.social/tags/Apple" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Apple</span></a>'s location service can be used without big issues. <a href="https://tux.social/tags/GrapheneOS" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>GrapheneOS</span></a> does so, the data can be easily scraped.</p><p>But as a <a href="https://tux.social/tags/BeaconDB" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>BeaconDB</span></a> contributor, I am of course happy to hear this!</p><p>There are a ton of people collecting data, it is pretty insane!</p><p><a href="https://beacondb.net/map" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">beacondb.net/map</span><span class="invisible"></span></a></p><p><a href="https://tux.social/tags/NetworkLocation" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>NetworkLocation</span></a> <a href="https://tux.social/tags/NLP" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>NLP</span></a> <a href="https://tux.social/tags/MLS" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MLS</span></a> <a href="https://tux.social/tags/GPS" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>GPS</span></a> <a href="https://tux.social/tags/GPSJamming" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>GPSJamming</span></a> <a href="https://tux.social/tags/Resilience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Resilience</span></a></p>
Pete Bleackley<p>I asked <a href="https://wandering.shop/tags/ChatGPT" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ChatGPT</span></a> to write a Word Sense Disambiguation system using the <a href="https://wandering.shop/tags/ViterbiAlgorthm" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ViterbiAlgorthm</span></a> and code reviewed it's results.</p><p><a href="https://petebleackley.github.io/code_reviewing_chatgpt.html" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">petebleackley.github.io/code_r</span><span class="invisible">eviewing_chatgpt.html</span></a></p><p><a href="https://wandering.shop/tags/ArtificialIntelligence" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ArtificialIntelligence</span></a> <a href="https://wandering.shop/tags/NLP" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>NLP</span></a> <a href="https://wandering.shop/tags/LLM" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>LLM</span></a><br><span class="h-card" translate="no"><a href="https://a.gup.pe/u/data_science" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>data_science</span></a></span></p>
Holle Meding<p>📰 Classifying Genre in Historical Medical Periodicals</p><p>Next in line: Vera Danilova presents her work on genre classification in digitized periodicals from European patient organizations (1951–1990) using <a href="https://mastodon.social/tags/LLMs" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>LLMs</span></a> as part of the <a href="https://mastodon.social/tags/ActDisease" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ActDisease</span></a> project. </p><p>🔹 XLM-RoBERTa (UDM) led Q&amp;A tasks with 32% more correct answers than mBERT/hmBERT.<br>🔹 hmBERT (UDM) topped Administrative classification (+16%)<br>🔹 CORE-based models excelled in legal genre prediction. </p><p><a href="https://mastodon.social/tags/DigitalHumanities" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DigitalHumanities</span></a> <span class="h-card" translate="no"><a href="https://wisskomm.social/@tuberlin" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>tuberlin</span></a></span> <a href="https://mastodon.social/tags/classification" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>classification</span></a> <a href="https://mastodon.social/tags/NLP" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>NLP</span></a></p>
洪 民憙 (Hong Minhee)<p><strong>Browser-Native Translation and Language Detection APIs Coming Soon</strong></p> <p><a href="https://hackers.pub/@hongminhee/2025/translation-api" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">hackers.pub/@hongminhee/2025/t</span><span class="invisible">ranslation-api</span></a></p>
Harald Sack<p>Greetings from the FIZ Karlsruhe Research Retreat at Königstuhl, above the city of Heidelberg. I had the pleasure to introduce and conduct a Design Thinking session together with 40 brilliant colleagues to work on how to improve our research</p><p><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://mathstodon.xyz/@zbMATH" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>zbMATH</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://sigmoid.social/@GenAsefa" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>GenAsefa</span></a></span> <span class="h-card" translate="no"><a href="https://fosstodon.org/@heikef" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>heikef</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> <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> <a href="https://sigmoid.social/tags/semanticweb" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>semanticweb</span></a> <a href="https://sigmoid.social/tags/knowledgegraphs" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>knowledgegraphs</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/llms" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>llms</span></a> <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/innovation" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>innovation</span></a> <a href="https://sigmoid.social/tags/designthinking" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>designthinking</span></a></p>
WriterOfMinds (she)<p>An extra-fun Acuitas update for March, as I go back to work on game-playing. I'm trying to set him up to play a text version of a favorite game that helped *me* learn how to think. <a href="https://writerofminds.blogspot.com/2025/03/acuitas-diary-82-march-2025.html" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">writerofminds.blogspot.com/202</span><span class="invisible">5/03/acuitas-diary-82-march-2025.html</span></a><br><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/ArtificialIntelligence" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ArtificialIntelligence</span></a> <a href="https://sigmoid.social/tags/chatbots" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>chatbots</span></a> <a href="https://sigmoid.social/tags/NLP" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>NLP</span></a></p>
Daniel Buschek<p>Mobile email UIs added AI replies "on top". These popups hide draft &amp; email, so users need to remember all info from the email while prompting &amp; checking AI results. We've redesigned this with local responses, resulting in flexible workflows - both with &amp; without AI. 👇🧵<a href="https://hci.social/tags/CHI2025" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>CHI2025</span></a> <a href="https://hci.social/tags/HCI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>HCI</span></a> <a href="https://hci.social/tags/NLP" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>NLP</span></a> <a href="https://hci.social/tags/NLProc" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>NLProc</span></a> <a href="https://hci.social/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AI</span></a></p>
KINEWS24<p>**🚀 MCP: DAS ENDE DER KI-HALLUZINATIONEN? 🤯**</p><p>Ist das Model Context Protocol (MCP) wirklich der Game-Changer, auf den wir gewartet haben? 🤔 Ein neuer Ansatz, der KI-Halluzinationen minimieren soll – klingt fast zu gut, um wahr zu sein! </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/ki" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ki</span></a> <a href="https://mastodon.social/tags/artificialintelligence" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>artificialintelligence</span></a> <a href="https://mastodon.social/tags/NLP" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>NLP</span></a> <a href="https://mastodon.social/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MachineLearning</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/DeepLearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DeepLearning</span></a></p><p><a href="https://kinews24.de/mcp-das-model-context-protocol/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">kinews24.de/mcp-das-model-cont</span><span class="invisible">ext-protocol/</span></a></p>
KINEWS24<p>🤖 KANN ChatGPT FÜHLEN? 💔</p><p>ChatGPT und Emotionen – ein Widerspruch? Der Artikel beleuchtet, wie KI versucht, menschliche Gefühle zu imitieren. Aber sind das wirklich Emotionen oder nur ausgeklügelte Algorithmen? 🤔</p><p>Meine Meinung: ChatGPT kann Empathie vortäuschen, aber echte emotionale Intelligenz ist etwas anderes. </p><p>Was denkt ihr? Können Maschinen wirklich fühlen? Teilt eure Gedanken in den Kommentaren! 👇</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/ki" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ki</span></a> <a href="https://mastodon.social/tags/chatgpt" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>chatgpt</span></a> <a href="https://mastodon.social/tags/emotionen" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>emotionen</span></a> <a href="https://mastodon.social/tags/nlp" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>nlp</span></a> <a href="https://mastodon.social/tags/zukunftderki" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>zukunftderki</span></a> <a href="https://mastodon.social/tags/menschmaschine" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>menschmaschine</span></a></p><p><a href="https://kinews24.de/chatgpt-und-emotionen/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">kinews24.de/chatgpt-und-emotio</span><span class="invisible">nen/</span></a></p>
Compsci Weekly<p>FuzzRush: Faster Fuzzy Matching Project</p><p><a href="https://github.com/omkumar40/FuzzRush" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">github.com/omkumar40/FuzzRush</span><span class="invisible"></span></a></p><p>Discussions: <a href="https://discu.eu/q/https://github.com/omkumar40/FuzzRush" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">discu.eu/q/https://github.com/</span><span class="invisible">omkumar40/FuzzRush</span></a></p><p><a href="https://mastodon.social/tags/compsci" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>compsci</span></a> <a href="https://mastodon.social/tags/nlp" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>nlp</span></a></p>
Alex Zap<p><a href="https://mastodon.social/tags/python" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>python</span></a> <a href="https://mastodon.social/tags/machinelearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>machinelearning</span></a> <a href="https://mastodon.social/tags/artificialintelligence" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>artificialintelligence</span></a> <a href="https://mastodon.social/tags/datascience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>datascience</span></a> <a href="https://mastodon.social/tags/NLP" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>NLP</span></a> <br><a href="https://mastodon.social/tags/webapp" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>webapp</span></a> <a href="https://mastodon.social/tags/Dashboards" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Dashboards</span></a> <a href="https://mastodon.social/tags/app" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>app</span></a> <br><a href="https://mastodon.social/tags/GUI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>GUI</span></a> <a href="https://mastodon.social/tags/interface" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>interface</span></a> <br>👉 Design Interactive Machine Learning UI using Gradio, Hugging Face, NLP, Dash &amp; PyGWalker</p><p>Empower Your Python Data Science Projects with 30+ Inspiring Walkthrough Examples of User-Friendly (Web-)Interfaces &amp; Pipelines</p><p><a href="https://mastodon.social/tags/exploremore" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>exploremore</span></a> 👇 <br><a href="https://mastodon.social/tags/freesoftware" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>freesoftware</span></a> </p><p><a href="https://medium.com/@alexzap922/design-interactive-machine-learning-ui-using-gradio-hugging-face-nlp-dash-pygwalker-ffda628cceee?sk=fa1e49bd5e0b1d53e88a4f0c26019c81" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">medium.com/@alexzap922/design-</span><span class="invisible">interactive-machine-learning-ui-using-gradio-hugging-face-nlp-dash-pygwalker-ffda628cceee?sk=fa1e49bd5e0b1d53e88a4f0c26019c81</span></a></p>
st1nger :unverified: 🏴‍☠️ :linux: :freebsd:<p><a href="https://infosec.exchange/tags/PyTorch" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>PyTorch</span></a> internals (2019) <a href="https://infosec.exchange/tags/python" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>python</span></a> <a href="https://infosec.exchange/tags/tensor" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>tensor</span></a> <a href="https://infosec.exchange/tags/cuda" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>cuda</span></a> <a href="https://infosec.exchange/tags/ML" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ML</span></a> <a href="https://infosec.exchange/tags/NLP" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>NLP</span></a> <a href="https://blog.ezyang.com/2019/05/pytorch-internals/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">blog.ezyang.com/2019/05/pytorc</span><span class="invisible">h-internals/</span></a></p>
Leshem Choshen<p>🚀 "Multilingual" LLMs are really just clusters of monolingual ones!<br>They might know a Brazilian 🇧🇷 brewery—but only in Portuguese<br>With ECLEKTIC, you can now test this. The challenge? Making them truly multilingual. alphaxiv.org/pdf/2502.21228 📈🤖<br>🧵⬇️<br><a href="https://sigmoid.social/tags/LLM" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>LLM</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/genAI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>genAI</span></a> <a href="https://sigmoid.social/tags/nlp" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>nlp</span></a></p>
h-pom<p><a href="https://social.vivaldi.net/tags/film" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>film</span></a> <a href="https://social.vivaldi.net/tags/filmcamera" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>filmcamera</span></a> <a href="https://social.vivaldi.net/tags/filmphotography" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>filmphotography</span></a> <a href="https://social.vivaldi.net/tags/snapshot" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>snapshot</span></a> <a href="https://social.vivaldi.net/tags/photography" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>photography</span></a> <a href="https://social.vivaldi.net/tags/streetphotography" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>streetphotography</span></a> <a href="https://social.vivaldi.net/tags/slr" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>slr</span></a> <a href="https://social.vivaldi.net/tags/kodak" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>kodak</span></a> <a href="https://social.vivaldi.net/tags/portra" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>portra</span></a> <a href="https://social.vivaldi.net/tags/portra400" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>portra400</span></a> <a href="https://social.vivaldi.net/tags/mediumformat" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>mediumformat</span></a> <a href="https://social.vivaldi.net/tags/nlp" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>nlp</span></a> <a href="https://social.vivaldi.net/tags/japan" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>japan</span></a> <a href="https://social.vivaldi.net/tags/schneider" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>schneider</span></a> <a href="https://social.vivaldi.net/tags/aposymmar" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>aposymmar</span></a> <a href="https://social.vivaldi.net/tags/makro" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>makro</span></a> <a href="https://social.vivaldi.net/tags/90mmf4" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>90mmf4</span></a></p>
MSvana<p>In the recent week I have been working on Embeddings Playground (<a href="https://embeddings.svana.name" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">embeddings.svana.name</span><span class="invisible"></span></a>) a simple utility for experimenting with text embeddings.</p><p>Today, I am introducing a big upgrade: the option to compare embeddings generated by different models.</p><p>The app currently supports Mistral and OpenAI embeddings. More coming soon.</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/datascience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>datascience</span></a> <a href="https://mastodon.social/tags/programming" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>programming</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/machinelearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>machinelearning</span></a> <a href="https://mastodon.social/tags/nlp" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>nlp</span></a></p>
Pustam | पुस्तम | পুস্তম🇳🇵<p>The rise of AI research in a graph — see how its ArXiv submissions compare to other fields over the past decade. <a href="https://mathstodon.xyz/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AI</span></a> <a href="https://mathstodon.xyz/tags/ArXiV" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ArXiV</span></a> <a href="https://mathstodon.xyz/tags/ArtificialIntelligence" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ArtificialIntelligence</span></a> <a href="https://mathstodon.xyz/tags/DL" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DL</span></a> <a href="https://mathstodon.xyz/tags/ML" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ML</span></a> <a href="https://mathstodon.xyz/tags/CV" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>CV</span></a> <a href="https://mathstodon.xyz/tags/NLP" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>NLP</span></a> <a href="https://mathstodon.xyz/tags/XAI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>XAI</span></a> <a href="https://mathstodon.xyz/tags/AIResearch" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AIResearch</span></a> <a href="https://mathstodon.xyz/tags/CS" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>CS</span></a> <a href="https://mathstodon.xyz/tags/ComputerScience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ComputerScience</span></a> <a href="https://mathstodon.xyz/tags/DataScience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DataScience</span></a> <a href="https://mathstodon.xyz/tags/Research" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Research</span></a> <a href="https://mathstodon.xyz/tags/Revolution" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Revolution</span></a> <a href="https://mathstodon.xyz/tags/AIBoom" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AIBoom</span></a> <a href="https://mathstodon.xyz/tags/AIRevolution" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AIRevolution</span></a></p>
José A. Alonso<p>Readings shared March 15, 2025. <a href="https://jaalonso.github.io/vestigium/posts/2025/03/15-readings_shared_03-15-25" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">jaalonso.github.io/vestigium/p</span><span class="invisible">osts/2025/03/15-readings_shared_03-15-25</span></a> <a href="https://mathstodon.xyz/tags/ACL2" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ACL2</span></a> <a href="https://mathstodon.xyz/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AI</span></a> <a href="https://mathstodon.xyz/tags/CHR" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>CHR</span></a> <a href="https://mathstodon.xyz/tags/Constraint" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Constraint</span></a> <a href="https://mathstodon.xyz/tags/Constraints" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Constraints</span></a> <a href="https://mathstodon.xyz/tags/Emacs" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Emacs</span></a> <a href="https://mathstodon.xyz/tags/FormalVerification" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>FormalVerification</span></a> <a href="https://mathstodon.xyz/tags/FunctionalProgramming" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>FunctionalProgramming</span></a> <a href="https://mathstodon.xyz/tags/Haskell" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Haskell</span></a> <a href="https://mathstodon.xyz/tags/ITP" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ITP</span></a> <a href="https://mathstodon.xyz/tags/IsabelleHOL" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>IsabelleHOL</span></a> <a href="https://mathstodon.xyz/tags/Logic" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Logic</span></a> <a href="https://mathstodon.xyz/tags/LogicProgramming" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>LogicProgramming</span></a> <a href="https://mathstodon.xyz/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MachineLearning</span></a> <a href="https://mathstodon.xyz/tags/Math" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Math</span></a> <a href="https://mathstodon.xyz/tags/NLP" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>NLP</span></a> <a href="https://mathstodon.xyz/tags/Prolog" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Prolog</span></a></p>