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#MLOps

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Doug Ortiz<p>Surprising MLOps twist! 🤯 </p><p>Recent trends point to a potential convergence of MLE and MLOps roles. </p><p>Could this mean the end of dedicated MLOps roles in smaller teams? 🤔 </p><p>Full blog post: <a href="https://dougortiz.blogspot.com/2025/05/the-blurring-lines-in-ml-engineering.html" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">dougortiz.blogspot.com/2025/05</span><span class="invisible">/the-blurring-lines-in-ml-engineering.html</span></a> </p><p><a href="https://mastodon.social/tags/FullStackML" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>FullStackML</span></a> <a href="https://mastodon.social/tags/MLE" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MLE</span></a> <a href="https://mastodon.social/tags/MLOps" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MLOps</span></a> <a href="https://mastodon.social/tags/TheBlurringLines" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>TheBlurringLines</span></a> <a href="https://mastodon.social/tags/AITrends" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AITrends</span></a></p>
emmuzoo<p>🚕💡 The model is up and running! It predicts ride durations for NY Yellow Taxi trips, and I’m loving the MLOps journey. Now focusing on deploying the model and automating the process. <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/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AI</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/MLOps" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MLOps</span></a> <a href="https://mastodon.social/tags/ZoomCamp" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ZoomCamp</span></a> <a href="https://mastodon.social/tags/DataTalksClub" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DataTalksClub</span></a></p>
Dr. Thompson<p>🚀 $3.83 Billion by 2025? That’s the MLOps market powering GenAI at scale.<br>Discover the 5-stage blueprint keeping LLMs from going rogue – from hallucination drift to real-time prompt correction. 🧠⚙️</p><p>🔗 Read now: <a href="https://medium.com/@rogt.x1997/3-83-billion-by-2025-why-mlops-is-becoming-the-backbone-of-scalable-ai-c9571db4e66b" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">medium.com/@rogt.x1997/3-83-bi</span><span class="invisible">llion-by-2025-why-mlops-is-becoming-the-backbone-of-scalable-ai-c9571db4e66b</span></a></p><p><a href="https://mastodon.social/tags/GenAI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>GenAI</span></a> <a href="https://mastodon.social/tags/MLOps" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MLOps</span></a> <a href="https://mastodon.social/tags/AIEngineering" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AIEngineering</span></a> <a href="https://mastodon.social/tags/ModelOps" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ModelOps</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/AIStack" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AIStack</span></a><br><a href="https://medium.com/@rogt.x1997/3-83-billion-by-2025-why-mlops-is-becoming-the-backbone-of-scalable-ai-c9571db4e66b" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">medium.com/@rogt.x1997/3-83-bi</span><span class="invisible">llion-by-2025-why-mlops-is-becoming-the-backbone-of-scalable-ai-c9571db4e66b</span></a></p>
Habr<p>[Перевод] Теневая сторона AutoML: когда no-code инструменты вредят больше, чем помогают</p><p>AutoML обещает лёгкий вход в машинное обучение: не нужно разбираться с пайплайнами, настраивать гиперпараметры и писать код — просто загрузи данные и получи модель. Но за удобством скрываются архитектурные риски, которые не всегда видны на первом этапе. От непрозрачных решений до «тихого дрейфа» и невозможности отката — автоматизация может не упростить, а усложнить жизнь, особенно в проде. В этой статье — разбор того, что на самом деле строит AutoML, где он действительно полезен, и почему его нельзя воспринимать как волшебную кнопку.</p><p><a href="https://habr.com/ru/companies/otus/articles/911456/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">habr.com/ru/companies/otus/art</span><span class="invisible">icles/911456/</span></a></p><p><a href="https://zhub.link/tags/mlops" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>mlops</span></a> <a href="https://zhub.link/tags/data_science" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>data_science</span></a> <a href="https://zhub.link/tags/%D0%BC%D0%B0%D1%88%D0%B8%D0%BD%D0%BD%D0%BE%D0%B5_%D0%BE%D0%B1%D1%83%D1%87%D0%B5%D0%BD%D0%B8%D0%B5" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>машинное_обучение</span></a> <a href="https://zhub.link/tags/%D0%90%D0%B2%D1%82%D0%BE%D0%BC%D0%B0%D1%82%D0%B8%D0%B7%D0%B0%D1%86%D0%B8%D1%8F_ML" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Автоматизация_ML</span></a> <a href="https://zhub.link/tags/%D0%92%D0%B5%D1%80%D1%81%D0%B8%D0%BE%D0%BD%D0%B8%D1%80%D0%BE%D0%B2%D0%B0%D0%BD%D0%B8%D0%B5_%D0%B4%D0%B0%D0%BD%D0%BD%D1%8B%D1%85" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Версионирование_данных</span></a></p>
Habr<p>To Docker or not to Docker? Вот в чём JupyterLab</p><p>Локальная работа в Jupyter-ноутбуках – неотъемлемая часть исследований и экспериментов нашего ML-отдела. Но из какой среды эти ноутбуки лучше запускать? Мы пользуемся двумя вариантами: запуском из Docker-контейнера и запуском в изолированном локальном poetry-окружении. В статье соберем минимальный сетап для работы с Jupyter-ноутбуками и ссылки на полезные ресурсы для ознакомления.</p><p><a href="https://habr.com/ru/articles/911298/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">habr.com/ru/articles/911298/</span><span class="invisible"></span></a></p><p><a href="https://zhub.link/tags/poetry" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>poetry</span></a> <a href="https://zhub.link/tags/docker" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>docker</span></a> <a href="https://zhub.link/tags/dockercompose" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>dockercompose</span></a> <a href="https://zhub.link/tags/mlops" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>mlops</span></a> <a href="https://zhub.link/tags/ml" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ml</span></a> <a href="https://zhub.link/tags/jupyterlab" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>jupyterlab</span></a> <a href="https://zhub.link/tags/jupyter" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>jupyter</span></a> <a href="https://zhub.link/tags/jupyter_notebook" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>jupyter_notebook</span></a> <a href="https://zhub.link/tags/infrastructure" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>infrastructure</span></a> <a href="https://zhub.link/tags/mlops_tools" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>mlops_tools</span></a></p>
Praveen Kumar<p>🖥️ MLOps &amp; AIOps – Free Online Training<br>📅 28th May | 🕢 7:30 AM IST<br>👨‍🏫 Mr. Rajanikanth<br>🔗 <a href="https://tr.ee/MLAI28M" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">tr.ee/MLAI28M</span><span class="invisible"></span></a><br>Master the tools that automate ML and AI operations.</p><p><a href="https://mastodon.social/tags/MLOps" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MLOps</span></a> <a href="https://mastodon.social/tags/AIOps" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AIOps</span></a> <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/TechLearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>TechLearning</span></a> <a href="https://mastodon.social/tags/MastodonTech" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MastodonTech</span></a> <a href="https://mastodon.social/tags/NareshIT" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>NareshIT</span></a></p>
Habr<p>Как не переплатить за автоматизацию? Разбираем, когда стоит подключать ML</p><p>Часто автоматизация средствами ML ассоциируется с быстрым ростом эффективности бизнеса, но на практике оборачивается молниеносным увеличением затрат. Поэтому подход «Если делаешь что-то больше одного раза, автоматизируй это» выглядит слишком радикальным. Как понять, действительно ли вам нужны ML-технологии или же ваши задачи можно закрыть простыми скриптами и правилами? Чтобы разобраться в этом вопросе, мы в Selectel исследовали успешные кейсы автоматизации в финансовом секторе, телекоме и IT-инфраструктуре, опираясь на экспертизу специалистов из T-Банк, PIX Robotics и Netcracker. Подробности под катом!</p><p><a href="https://habr.com/ru/companies/selectel/articles/910730/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">habr.com/ru/companies/selectel</span><span class="invisible">/articles/910730/</span></a></p><p><a href="https://zhub.link/tags/selectel" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>selectel</span></a> <a href="https://zhub.link/tags/ml" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ml</span></a> <a href="https://zhub.link/tags/mlops" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>mlops</span></a> <a href="https://zhub.link/tags/rpa" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>rpa</span></a> <a href="https://zhub.link/tags/%D0%B8%D0%BD%D1%82%D0%B5%D1%80%D0%B2%D1%8C%D1%8E" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>интервью</span></a></p>
LLMsBreathing Through the AI Storm: Junior Developer’s Coping Method ( this story is about explorin...<br><br><a href="https://medium.com/@rasinbinabdulla/breathing-through-the-ai-storm-junior-developers-coping-method-this-story-is-about-exploring-8b0af6eb1fb7?source=rss------technology-5" rel="nofollow noopener noreferrer" target="_blank">https://medium.com/@rasinbinabdulla/breathing-through-the-ai-storm-junior-developers-coping-method-this-story-is-about-exploring-8b0af6eb1fb7?source=rss------technology-5</a><br><br><a rel="nofollow noopener noreferrer" class="mention hashtag" href="https://mastodon.social/tags/ai" target="_blank">#ai</a> <a rel="nofollow noopener noreferrer" class="mention hashtag" href="https://mastodon.social/tags/junior-developer" target="_blank">#junior-developer</a> <a rel="nofollow noopener noreferrer" class="mention hashtag" href="https://mastodon.social/tags/mlops" target="_blank">#mlops</a> <a rel="nofollow noopener noreferrer" class="mention hashtag" href="https://mastodon.social/tags/llm-applications" target="_blank">#llm-applications</a> <a rel="nofollow noopener noreferrer" class="mention hashtag" href="https://mastodon.social/tags/technology" target="_blank">#technology</a><br><br><a href="https://awakari.com/pub-msg.html?id=6xHV0AY2Y2A4ycmpIkLDcMVuvRY&amp;interestId=LLMs" rel="nofollow noopener noreferrer" target="_blank">Result Details</a>
Habr<p>MLечный путь 2025 — знания, опыт, коммьюнити. Как это было?</p><p>Привет, Хабр! 23 апреля мы провели в Петербурге митап для ML-специалистов. Спикеры обсудили запуск LLM в продакшен, оптимизацию GPU-инференса, а также Edge-решения для медицины и агросектора. Минимум теории — больше кейсов от Selectel, Cloud.ru, Celsus и Русагро. Как подобрать инфраструктуру под LLM? Как контейнеризировать GPU в многоарендных средах? Как запускать ML на комбайне или медицинском поезде без интернета? На эти вопросы ответили в четырех докладах на MLлечном пути. А еще мы организовали питч-сессию для стартапов. Пять проектов на стадии pre-MVP боролись за призовой фонд в 100 000 бонусов. Победителей выбирали сами зрители. В тексте рассказываем, как все было.</p><p><a href="https://habr.com/ru/companies/selectel/articles/909258/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">habr.com/ru/companies/selectel</span><span class="invisible">/articles/909258/</span></a></p><p><a href="https://zhub.link/tags/selectel" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>selectel</span></a> <a href="https://zhub.link/tags/mlops" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>mlops</span></a> <a href="https://zhub.link/tags/%D0%BC%D0%B0%D1%88%D0%B8%D0%BD%D0%BD%D0%BE%D0%B5_%D0%BE%D0%B1%D1%83%D1%87%D0%B5%D0%BD%D0%B8%D0%B5" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>машинное_обучение</span></a> <a href="https://zhub.link/tags/%D0%BA%D0%BE%D0%BD%D1%84%D0%B5%D1%80%D0%B5%D0%BD%D1%86%D0%B8%D0%B8" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>конференции</span></a> <a href="https://zhub.link/tags/ml" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ml</span></a></p>
LLMsMLечный путь 2025 — знания, опыт, коммьюнити. Как это был...<br><br><a href="https://habr.com/ru/companies/selectel/articles/909258/?utm_source=habrahabr&amp;utm_medium=rss&amp;utm_campaign=909258" rel="nofollow noopener noreferrer" target="_blank">https://habr.com/ru/companies/selectel/articles/909258/?utm_source=habrahabr&amp;utm_medium=rss&amp;utm_campaign=909258</a><br><br><a rel="nofollow noopener noreferrer" class="mention hashtag" href="https://mastodon.social/tags/selectel" target="_blank">#selectel</a> <a rel="nofollow noopener noreferrer" class="mention hashtag" href="https://mastodon.social/tags/mlops" target="_blank">#mlops</a> <a rel="nofollow noopener noreferrer" class="mention hashtag" href="https://mastodon.social/tags/машинное" target="_blank">#машинное</a> <a rel="nofollow noopener noreferrer" class="mention hashtag" href="https://mastodon.social/tags/обучение" target="_blank">#обучение</a> <a rel="nofollow noopener noreferrer" class="mention hashtag" href="https://mastodon.social/tags/конференции" target="_blank">#конференции</a> <a rel="nofollow noopener noreferrer" class="mention hashtag" href="https://mastodon.social/tags/ml" target="_blank">#ml</a><br><br><a href="https://awakari.com/pub-msg.html?id=4FMyL4nPg1hL1FOKx4g1FJHdtxY&amp;interestId=LLMs" rel="nofollow noopener noreferrer" target="_blank">Result Details</a>
LLMsBuilding Your First ML Model API with FastAPI: A Step-by-Step Guide If you have built AI applicat...<br><br><a href="https://medium.com/@adejumo999/building-your-first-ml-model-api-with-fastapi-a-step-by-step-guide-e5cc9ad451a5?source=rss------machine_learning-5" rel="nofollow noopener noreferrer" target="_blank">https://medium.com/@adejumo999/building-your-first-ml-model-api-with-fastapi-a-step-by-step-guide-e5cc9ad451a5?source=rss------machine_learning-5</a><br><br><a rel="nofollow noopener noreferrer" class="mention hashtag" href="https://mastodon.social/tags/data-science" target="_blank">#data-science</a> <a rel="nofollow noopener noreferrer" class="mention hashtag" href="https://mastodon.social/tags/fastapi" target="_blank">#fastapi</a> <a rel="nofollow noopener noreferrer" class="mention hashtag" href="https://mastodon.social/tags/ai" target="_blank">#ai</a> <a rel="nofollow noopener noreferrer" class="mention hashtag" href="https://mastodon.social/tags/machine-learning" target="_blank">#machine-learning</a> <a rel="nofollow noopener noreferrer" class="mention hashtag" href="https://mastodon.social/tags/mlops" target="_blank">#mlops</a><br><br><a href="https://awakari.com/pub-msg.html?id=1jA0Wo8wkTB3xD6fOtMYYEw5hfk&amp;interestId=LLMs" rel="nofollow noopener noreferrer" target="_blank">Result Details</a>
Habr<p>Выбираем MLOps инструменты с учётом зрелости команды</p><p>MLOps — это набор практик и процессов для управления жизненным циклом ML-моделей: от обучения до продакшна и поддержки. Если копнуть глубже, окажется, что решений куча и выбор неочевиден. Разберем, почему не всё так просто и как принимать решения о внедрении MLOps-инструментов.</p><p><a href="https://habr.com/ru/articles/908216/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">habr.com/ru/articles/908216/</span><span class="invisible"></span></a></p><p><a href="https://zhub.link/tags/mlops" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>mlops</span></a> <a href="https://zhub.link/tags/opensource" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>opensource</span></a> <a href="https://zhub.link/tags/ml_stack" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ml_stack</span></a> <a href="https://zhub.link/tags/machine_learning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>machine_learning</span></a> <a href="https://zhub.link/tags/ai_infrastructure" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ai_infrastructure</span></a></p>
KubernetesBuilding End-to-End MLOps Pipelines with Kubernetes | MLOps Tutorial Learn how to build end-to-en...<br><br><a href="https://codezup.com/building-end-to-end-mlops-pipelines-with-kubernetes/" rel="nofollow noopener noreferrer" target="_blank">https://codezup.com/building-end-to-end-mlops-pipelines-with-kubernetes/</a><br><br><a rel="nofollow noopener noreferrer" class="mention hashtag" href="https://mastodon.social/tags/DevOps" target="_blank">#DevOps</a> <a rel="nofollow noopener noreferrer" class="mention hashtag" href="https://mastodon.social/tags/Machine" target="_blank">#Machine</a> <a rel="nofollow noopener noreferrer" class="mention hashtag" href="https://mastodon.social/tags/Learning" target="_blank">#Learning</a> <a rel="nofollow noopener noreferrer" class="mention hashtag" href="https://mastodon.social/tags/MLOps" target="_blank">#MLOps</a><br><br><a href="https://awakari.com/pub-msg.html?id=F4NXZgUNaKoSMlNHvoYDkDPfwIK&amp;interestId=Kubernetes" rel="nofollow noopener noreferrer" target="_blank">Result Details</a>
Marcos Lobo 💙💛<p>❓Want real feedback on your models?</p><p>Run post-delivery retrospectives for dashboards &amp; ML to measure impact &amp; iterate.</p><p>🔄 Get the playbook: <a href="https://newsletter.optimistengineer.com/p/your-engineering-team-just-met-data?r=nw9bj&amp;utm_campaign=post&amp;utm_medium=web&amp;showWelcomeOnShare=false" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">newsletter.optimistengineer.co</span><span class="invisible">m/p/your-engineering-team-just-met-data?r=nw9bj&amp;utm_campaign=post&amp;utm_medium=web&amp;showWelcomeOnShare=false</span></a></p><p><a href="https://hachyderm.io/tags/MLOps" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MLOps</span></a> <a href="https://hachyderm.io/tags/EngineeringLeadership" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>EngineeringLeadership</span></a></p>
Habr<p>Как бессерверные gpu делают AI доступным. Введение в платформу PrimeWay</p><p>Привет, Хабр! Сегодня мы поговорим о том, как бессерверные-технологии меняют мир GPU-вычислений. Если вы когда-нибудь сталкивались с машинным обучением, рендерингом анализа 3D-графики или большими данными, эта статья поможет вам сэкономить время, деньги и нервы.</p><p><a href="https://habr.com/ru/companies/primeway/articles/906384/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">habr.com/ru/companies/primeway</span><span class="invisible">/articles/906384/</span></a></p><p><a href="https://zhub.link/tags/mlops" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>mlops</span></a> <a href="https://zhub.link/tags/devops" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>devops</span></a> <a href="https://zhub.link/tags/ai" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ai</span></a> <a href="https://zhub.link/tags/ml" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ml</span></a> <a href="https://zhub.link/tags/%D0%BC%D0%B0%D1%88%D0%B8%D0%BD%D0%BD%D0%BE%D0%B5_%D0%BE%D0%B1%D1%83%D1%87%D0%B5%D0%BD%D0%B8%D0%B5" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>машинное_обучение</span></a> <a href="https://zhub.link/tags/python" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>python</span></a> <a href="https://zhub.link/tags/%D0%B4%D0%B5%D0%BF%D0%BB%D0%BE%D0%B9" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>деплой</span></a> <a href="https://zhub.link/tags/%D0%B4%D0%BE%D0%BE%D0%B1%D1%83%D1%87%D0%B5%D0%BD%D0%B8%D0%B5" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>дообучение</span></a></p>
Netzpalaver<p>Schutz vor Risiken durch KI- und LLM-Modelle von der Entwicklung bis zur Bereitstellung</p><p><a href="https://social.tchncs.de/tags/Compliance" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Compliance</span></a> <a href="https://social.tchncs.de/tags/Cybersecurity" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Cybersecurity</span></a> <a href="https://social.tchncs.de/tags/Cybersicherheit" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Cybersicherheit</span></a> <a href="https://social.tchncs.de/tags/KISecurity" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>KISecurity</span></a> <a href="https://social.tchncs.de/tags/k%C3%BCnstlicheIntelligenz" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>künstlicheIntelligenz</span></a> <a href="https://social.tchncs.de/tags/LargeLanguageModels" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>LargeLanguageModels</span></a> <a href="https://social.tchncs.de/tags/LLMScanner" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>LLMScanner</span></a> <a href="https://social.tchncs.de/tags/MLOps" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MLOps</span></a> @Qualys <a href="https://social.tchncs.de/tags/Risikomanagement" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Risikomanagement</span></a> <a href="https://social.tchncs.de/tags/Security" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Security</span></a></p><p><a href="https://netzpalaver.de/2025/04/30/schutz-vor-risiken-durch-ki-und-llm-modelle-von-der-entwicklung-bis-zur-bereitstellung/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">netzpalaver.de/2025/04/30/schu</span><span class="invisible">tz-vor-risiken-durch-ki-und-llm-modelle-von-der-entwicklung-bis-zur-bereitstellung/</span></a></p>
Habr<p>MLflow для исследований: как систематизировать ML-эксперименты</p><p>Когда речь заходит о таких инструментах, как Airflow, MLflow или Docker, многие сразу представляют себе продакшен-среду, и новичков это может пугать. Однако на самом деле эти инструменты полезны не только в проде или крупных компаниях. Сегодня я хочу рассказать об MLflow. Эта статья рассчитана на тех, кто только начинает свой путь в машинном обучении и обладает базовыми знаниями, а также на практикующих ученых в области ИИ, которые пока не знакомы с этим инструментом или сознательно им не пользуются.</p><p><a href="https://habr.com/ru/articles/905986/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">habr.com/ru/articles/905986/</span><span class="invisible"></span></a></p><p><a href="https://zhub.link/tags/mlflow" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>mlflow</span></a> <a href="https://zhub.link/tags/%D0%BC%D0%B0%D1%88%D0%B8%D0%BD%D0%BD%D0%BE%D0%B5_%D0%BE%D0%B1%D1%83%D1%87%D0%B5%D0%BD%D0%B8%D0%B5" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>машинное_обучение</span></a> <a href="https://zhub.link/tags/%D0%B8%D1%81%D0%BA%D1%83%D1%81%D1%81%D1%82%D0%B2%D0%B5%D0%BD%D0%BD%D1%8B%D0%B9_%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>искусственный_интеллект</span></a> <a href="https://zhub.link/tags/%D1%8D%D0%BA%D1%81%D0%BF%D0%B5%D1%80%D0%B8%D0%BC%D0%B5%D0%BD%D1%82%D1%8B" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>эксперименты</span></a> <a href="https://zhub.link/tags/%D0%BB%D0%BE%D0%B3%D0%B8%D1%80%D0%BE%D0%B2%D0%B0%D0%BD%D0%B8%D0%B5" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>логирование</span></a> <a href="https://zhub.link/tags/%D1%82%D1%80%D0%B5%D0%BA%D0%B8%D0%BD%D0%B3" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>трекинг</span></a> <a href="https://zhub.link/tags/mlops" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>mlops</span></a></p>
Habr<p>Как из аналитики данных перейти в дата-сайентисты</p><p>Перевели и дополнили статью Марины Уисс, applied scientist (дата-сайентист со специализацией в прикладной статистике) в Twitch. Когда-то Марина перешла в IT из не связанной с технологиями сферы деятельности, а потом помогла с этим переходом многим людям без IT-бэкграунда. В этой статье она делится советами для дата-аналитиков, которым хотелось бы заниматься data science. А мы добавили мнение экспертов и рекомендации, актуальные для российских образовательных реалий.</p><p><a href="https://habr.com/ru/companies/netologyru/articles/905206/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">habr.com/ru/companies/netology</span><span class="invisible">ru/articles/905206/</span></a></p><p><a href="https://zhub.link/tags/%D0%BF%D1%80%D0%BE%D1%84%D0%B5%D1%81%D1%81%D0%B8%D1%8F_%D0%B4%D0%B0%D1%82%D0%B0_%D1%81%D0%B0%D0%B9%D0%B5%D0%BD%D1%82%D0%B8%D1%81%D1%82" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>профессия_дата_сайентист</span></a> <a href="https://zhub.link/tags/%D1%81%D1%82%D0%B0%D1%82%D1%8C_%D0%B4%D0%B0%D1%82%D0%B0%D1%81%D0%B0%D0%B9%D0%B5%D0%BD%D1%82%D0%B8%D1%81%D1%82%D0%BE%D0%BC" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>стать_датасайентистом</span></a> <a href="https://zhub.link/tags/data_science" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>data_science</span></a> <a href="https://zhub.link/tags/%D0%BF%D1%80%D0%BE%D0%B3%D0%BD%D0%BE%D0%B7%D1%8B_%D0%BD%D0%B0_%D0%B1%D1%83%D0%B4%D1%83%D1%89%D0%B5%D0%B5" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>прогнозы_на_будущее</span></a> <a href="https://zhub.link/tags/%D0%BC%D0%B0%D1%82%D0%B5%D0%BC%D0%B0%D1%82%D0%B8%D0%BA%D0%B0_%D0%B8_%D1%81%D1%82%D0%B0%D1%82%D0%B8%D1%81%D1%82%D0%B8%D0%BA%D0%B0" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>математика_и_статистика</span></a> <a href="https://zhub.link/tags/scikitlearn" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>scikitlearn</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/pytorch" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>pytorch</span></a> <a href="https://zhub.link/tags/mlops" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>mlops</span></a> <a href="https://zhub.link/tags/docker" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>docker</span></a></p>
LLMsBeyond Tokens: Embracing Concepts with Large Concept Models LCM Introduction &nbsp;The token-centric ...<br><br><a href="https://medium.com/@mvenkatsai9/beyond-tokens-embracing-concepts-with-large-concept-models-lcm-099cc61dbf82?source=rss------machine_learning-5" rel="nofollow noopener noreferrer" target="_blank">https://medium.com/@mvenkatsai9/beyond-tokens-embracing-concepts-with-large-concept-models-lcm-099cc61dbf82?source=rss------machine_learning-5</a><br><br><a rel="nofollow noopener noreferrer" class="mention hashtag" href="https://mastodon.social/tags/technology" target="_blank">#technology</a> <a rel="nofollow noopener noreferrer" class="mention hashtag" href="https://mastodon.social/tags/mlops" target="_blank">#mlops</a> <a rel="nofollow noopener noreferrer" class="mention hashtag" href="https://mastodon.social/tags/llm-applications" target="_blank">#llm-applications</a> <a rel="nofollow noopener noreferrer" class="mention hashtag" href="https://mastodon.social/tags/machine-learning" target="_blank">#machine-learning</a> <a rel="nofollow noopener noreferrer" class="mention hashtag" href="https://mastodon.social/tags/ai" target="_blank">#ai</a><br><br><a href="https://awakari.com/pub-msg.html?id=WifTHEcyOoloOVlfXC81HQBZps8&amp;interestId=LLMs" rel="nofollow noopener noreferrer" target="_blank">Result Details</a>
LLMsBeyond Tokens: Embracing Concepts with Large Concept Models LCM Introduction &nbsp;The token-centric ...<br><br><a href="https://medium.com/@mvenkatsai9/beyond-tokens-embracing-concepts-with-large-concept-models-lcm-099cc61dbf82?source=rss------technology-5" rel="nofollow noopener noreferrer" target="_blank">https://medium.com/@mvenkatsai9/beyond-tokens-embracing-concepts-with-large-concept-models-lcm-099cc61dbf82?source=rss------technology-5</a><br><br><a rel="nofollow noopener noreferrer" class="mention hashtag" href="https://mastodon.social/tags/technology" target="_blank">#technology</a> <a rel="nofollow noopener noreferrer" class="mention hashtag" href="https://mastodon.social/tags/mlops" target="_blank">#mlops</a> <a rel="nofollow noopener noreferrer" class="mention hashtag" href="https://mastodon.social/tags/llm-applications" target="_blank">#llm-applications</a> <a rel="nofollow noopener noreferrer" class="mention hashtag" href="https://mastodon.social/tags/machine-learning" target="_blank">#machine-learning</a> <a rel="nofollow noopener noreferrer" class="mention hashtag" href="https://mastodon.social/tags/ai" target="_blank">#ai</a><br><br><a href="https://awakari.com/pub-msg.html?id=KayqCvymwLEX1B3vdwWVomxBVk8&amp;interestId=LLMs" rel="nofollow noopener noreferrer" target="_blank">Result Details</a>