Mike Moran<p>It's less than a month till the next <a href="https://mastodon.scot/tags/MLOps" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MLOps</span></a> Edinburgh Meetup, where we'll be hearing from Danny Boland talking about “Scaling an LLM-Based Product Feature at Zoe": <a href="https://lu.ma/2spfbnk8" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">lu.ma/2spfbnk8</span><span class="invisible"></span></a></p>
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#MLops
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sc0v0ne<p>MCP, Agentic Knowledge Graphs & AI Models: Solving Conversational Analytics</p><p><a href="https://www.eventbrite.com/e/mcp-agentic-knowledge-graphs-ai-models-solving-conversational-analytics-tickets-1304648411519?aff=ebemoffollowpublishemail&ref=eemail&utm_campaign=following_published_event&utm_content=follow_notification&utm_medium=email&utm_source=eventbrite" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">eventbrite.com/e/mcp-agentic-k</span><span class="invisible">nowledge-graphs-ai-models-solving-conversational-analytics-tickets-1304648411519?aff=ebemoffollowpublishemail&ref=eemail&utm_campaign=following_published_event&utm_content=follow_notification&utm_medium=email&utm_source=eventbrite</span></a></p><p>In this free webinar led by ex-Snowflake, Cloudera, and Amazon leaders, we'll unveil how cutting-edge LLMs (GPT 4.5, Sonnet 3.7, Deepseek V3/R1, Gemini 2.5, etc.) are revolutionizing data products. <br><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/deeplearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>deeplearning</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/developer" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>developer</span></a> <a href="https://mastodon.social/tags/dev" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>dev</span></a> <a href="https://mastodon.social/tags/devsecops" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>devsecops</span></a> <a href="https://mastodon.social/tags/devops" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>devops</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/learn" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>learn</span></a> <a href="https://mastodon.social/tags/learning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>learning</span></a> <a href="https://mastodon.social/tags/study" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>study</span></a> <a href="https://mastodon.social/tags/git" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>git</span></a> <a href="https://mastodon.social/tags/github" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>github</span></a> <a href="https://mastodon.social/tags/codeberg" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>codeberg</span></a> <a href="https://mastodon.social/tags/tensorflow" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>tensorflow</span></a> <a href="https://mastodon.social/tags/pytorch" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>pytorch</span></a> <a href="https://mastodon.social/tags/jax" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>jax</span></a> <a href="https://mastodon.social/tags/huggingface" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>huggingface</span></a> <a href="https://mastodon.social/tags/linux" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>linux</span></a> <a href="https://mastodon.social/tags/ubuntu" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ubuntu</span></a> <a href="https://mastodon.social/tags/popos" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>popos</span></a> <a href="https://mastodon.social/tags/llm" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>llm</span></a></p>
Ian Robins<p>🧵 1/6 Most ML projects never make it to production.</p><p>At <a href="https://mastodonapp.uk/tags/QConSF" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>QConSF</span></a>, Wenjie Zi (Senior Applied AI Engineer at Grammarly) shared why ML projects fail and how to improve your odds.</p><p>From business misalignment to data issues, here are key takeaways. 🧵👇</p><p><a href="https://mastodonapp.uk/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MachineLearning</span></a> <a href="https://mastodonapp.uk/tags/MLOps" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MLOps</span></a> <a href="https://mastodonapp.uk/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AI</span></a></p>
Konstantin 🔭<p>I did some benchmarks on the ETL flow, an Elixir Broadway pipeline outperformed the collection of tiny Go services I thought would be more efficient. Also, OTP tooling around processes and state greatly simplified the topology of the final setup.</p><p><a href="https://bsky.app/profile/brefi.eu/post/3ljpqi4kezk2d" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">bsky.app/profile/brefi.eu/post</span><span class="invisible">/3ljpqi4kezk2d</span></a></p><p><a href="https://toot.iamkonstantin.eu/tags/ElixirLang" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ElixirLang</span></a> <a href="https://toot.iamkonstantin.eu/tags/MLOps" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MLOps</span></a> <a href="https://toot.iamkonstantin.eu/tags/ETL" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ETL</span></a></p>
Jumping Rivers<p>Keeping your ML models reliable over time is a real challenge. To learn more about building an MLOps pipeline in Python, check out our latest blog post.<br> <br><a href="https://fosstodon.org/tags/rstats" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>rstats</span></a> <a href="https://fosstodon.org/tags/MLOps" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MLOps</span></a> <a href="https://fosstodon.org/tags/Python" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Python</span></a> <a href="https://fosstodon.org/tags/DataScience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DataScience</span></a><br><a href="https://www.jumpingrivers.com/blog/vetiver-mlops-python-deployment/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">jumpingrivers.com/blog/vetiver</span><span class="invisible">-mlops-python-deployment/</span></a></p>
LavX News<p>Navigating the 10 Fallacies of MLOps: Building Better AI Systems</p><p>As the demand for production-ready AI systems grows, the gap between development and deployment widens. This article explores the ten fallacies of MLOps that can hinder the journey from model creation...</p><p><a href="https://news.lavx.hu/article/navigating-the-10-fallacies-of-mlops-building-better-ai-systems" rel="nofollow noopener noreferrer" target="_blank"><span class="invisible">https://</span><span class="ellipsis">news.lavx.hu/article/navigatin</span><span class="invisible">g-the-10-fallacies-of-mlops-building-better-ai-systems</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/MLOps" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MLOps</span></a> <a href="https://mastodon.cloud/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AI</span></a> <a href="https://mastodon.cloud/tags/FeatureStore" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>FeatureStore</span></a></p>
Rami Krispin :unverified:<p>Happy Saturday! ☀️</p><p>Continue with the VScode extensions sequence 🚀. The 5th edition focuses on extensions for working with Docker containers in VScode 🐳. </p><p>Next week's edition will be the last on this sequence, focusing on supporting AI extensions for VScode 🎯.</p><p>Subscribe to get weekly updates 👇🏼</p><p><a href="https://www.linkedin.com/pulse/five-vscode-extensions-working-containers-rami-krispin-50mec" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">linkedin.com/pulse/five-vscode</span><span class="invisible">-extensions-working-containers-rami-krispin-50mec</span></a></p><p><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/Docker" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Docker</span></a> <a href="https://mstdn.social/tags/MLops" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MLops</span></a> <a href="https://mstdn.social/tags/vscode" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>vscode</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/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> <br><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/realtime" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>realtime</span></a> <a href="https://mastodon.social/tags/neuralnetwork" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>neuralnetwork</span></a> <a href="https://mastodon.social/tags/scikitlearn" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>scikitlearn</span></a> </p><p>Continuous Machine Learning (CML): Basics & Best Practices for Adoption<br>The systematic way of learning continually from real-time data.<br>Plot: CML Confusion Matrix<br><a href="https://mastodon.social/tags/exploremore" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>exploremore</span></a> 👇 <br><a href="https://medium.com/@alexzap922/continuous-machine-learning-cml-basics-best-practices-for-adoption-257c19fbcbe9?sk=98bf072ddaccccd67ba83686261d8b15" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">medium.com/@alexzap922/continu</span><span class="invisible">ous-machine-learning-cml-basics-best-practices-for-adoption-257c19fbcbe9?sk=98bf072ddaccccd67ba83686261d8b15</span></a></p>
sc0v0ne<p>FREE BOOKS LINUX AND SHELL SCRIPTING</p><p>- <a href="https://tldp.org/LDP/Bash-Beginners-Guide/Bash-Beginners-Guide.pdf" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">tldp.org/LDP/Bash-Beginners-Gu</span><span class="invisible">ide/Bash-Beginners-Guide.pdf</span></a><br>- <a href="https://lamed-oti.com/school/rl/os/linux_unix/Korn%20Shell%20User%20and%20Programming%20Manual.pdf" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">lamed-oti.com/school/rl/os/lin</span><span class="invisible">ux_unix/Korn%20Shell%20User%20and%20Programming%20Manual.pdf</span></a><br>- <a href="https://theswissbay.ch/pdf/Books/Computer%20science/O%27Reilly/ten-steps-to-linux-survival.pdf" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span 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translate="no" target="_blank"><span class="invisible">http://</span><span class="">kroah.com/lkn/</span><span class="invisible"></span></a><br>- <a href="https://linuxfromscratch.org/lfs/downloads/stable/LFS-12.2-SYSV-BOOK.pdf" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">linuxfromscratch.org/lfs/downl</span><span class="invisible">oads/stable/LFS-12.2-SYSV-BOOK.pdf</span></a></p><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/rust" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>rust</span></a> <a href="https://mastodon.social/tags/c" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>c</span></a> <a href="https://mastodon.social/tags/c" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>c</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/deeplearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>deeplearning</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/developer" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>developer</span></a> <a href="https://mastodon.social/tags/dev" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>dev</span></a> <a href="https://mastodon.social/tags/devsecops" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>devsecops</span></a> <a href="https://mastodon.social/tags/devops" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>devops</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/learn" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>learn</span></a> <a href="https://mastodon.social/tags/learning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>learning</span></a> <a href="https://mastodon.social/tags/focus" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>focus</span></a> <a href="https://mastodon.social/tags/study" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>study</span></a> <a href="https://mastodon.social/tags/git" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>git</span></a> <a href="https://mastodon.social/tags/gitlab" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>gitlab</span></a> <a href="https://mastodon.social/tags/github" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>github</span></a> <a href="https://mastodon.social/tags/codeberg" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>codeberg</span></a> <a href="https://mastodon.social/tags/software" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>software</span></a> <a href="https://mastodon.social/tags/statistics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>statistics</span></a> <a href="https://mastodon.social/tags/pandas" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>pandas</span></a> <a href="https://mastodon.social/tags/numpy" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>numpy</span></a> <a href="https://mastodon.social/tags/tensorflow" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>tensorflow</span></a> <a href="https://mastodon.social/tags/pytorch" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>pytorch</span></a> <a href="https://mastodon.social/tags/jax" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>jax</span></a> <a href="https://mastodon.social/tags/linux" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>linux</span></a> <a href="https://mastodon.social/tags/popos" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>popos</span></a> <a href="https://mastodon.social/tags/mint" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>mint</span></a> <a href="https://mastodon.social/tags/deno" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>deno</span></a> <a href="https://mastodon.social/tags/node" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>node</span></a> <a href="https://mastodon.social/tags/ubuntu" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ubuntu</span></a></p>
Kathy Reid<p>LOL like just recruit me already </p><p><a href="https://aus.social/tags/remoteWork" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>remoteWork</span></a> <a href="https://aus.social/tags/MLOps" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MLOps</span></a> <a href="https://aus.social/tags/FediHired" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>FediHired</span></a></p>
michabbb<p><a href="https://social.vivaldi.net/tags/Amazon" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Amazon</span></a> Nova: Comprehensive Guide to Next-Gen Foundation Models 🔮</p><p> <a href="https://social.vivaldi.net/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AI</span></a> <a href="https://social.vivaldi.net/tags/AWS" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AWS</span></a> <a href="https://social.vivaldi.net/tags/AmazonBedrock" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AmazonBedrock</span></a> <a href="https://social.vivaldi.net/tags/LLM" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>LLM</span></a> <a href="https://social.vivaldi.net/tags/MultiModal" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MultiModal</span></a> <a href="https://social.vivaldi.net/tags/GenerativeAI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>GenerativeAI</span></a> <a href="https://social.vivaldi.net/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MachineLearning</span></a> <a href="https://social.vivaldi.net/tags/MLOps" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MLOps</span></a> <a href="https://social.vivaldi.net/tags/CloudComputing" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>CloudComputing</span></a></p><p>Examples: <a href="https://youtu.be/wGeRLCveGtE" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">youtu.be/wGeRLCveGtE</span><span class="invisible"></span></a><br>Keynote: <a href="https://youtu.be/LY7m5LQliAo?t=6315" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">youtu.be/LY7m5LQliAo?t=6315</span><span class="invisible"></span></a></p>
michabbb<p>• Perfect for quick <a href="https://social.vivaldi.net/tags/ContentAnalysis" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ContentAnalysis</span></a><br> • Streamlined <a href="https://social.vivaldi.net/tags/MLOps" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MLOps</span></a> pipeline</p><p>- Nova Pro:<br> • Advanced <a href="https://social.vivaldi.net/tags/DeepLearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DeepLearning</span></a> capabilities<br> • <a href="https://social.vivaldi.net/tags/LargeLanguageModel" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>LargeLanguageModel</span></a> with 300,000 token support<br> • Excels in <a href="https://social.vivaldi.net/tags/FinTech" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>FinTech</span></a> document analysis<br> • Optimal <a href="https://social.vivaldi.net/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AI</span></a> performance balance</p>
Rami Krispin :unverified:<p>The following events are based on a true story... 🤣</p><p>Credit: David Darnes</p><p><a href="https://mstdn.social/tags/DevOps" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DevOps</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/Jira" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Jira</span></a> <a href="https://mstdn.social/tags/MLOps" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MLOps</span></a></p>
Rami Krispin :unverified:<p>🐳+🐍 = ❤️<br>If you want to learn how to dockerize your Python development environment, here are some tutorials I created in the past year 🧶👇🏼<br>(1/5)<br><a href="https://mstdn.social/tags/python" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>python</span></a> <a href="https://mstdn.social/tags/docker" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>docker</span></a> <a href="https://mstdn.social/tags/vscode" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>vscode</span></a> <a href="https://mstdn.social/tags/mlops" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>mlops</span></a></p>
Rami Krispin :unverified:<p>My talk at the PyData NYC conference 2024 about Deploy & Monitor ML Pipelines with Python 🐍, Docker 🐳 and GitHub Actions is now available online.</p><p>Thank you to the conference organizers for the invite and organize this great conference!</p><p>📽️ <a href="https://www.youtube.com/watch?v=YM3UrQd2wEA" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">youtube.com/watch?v=YM3UrQd2wE</span><span class="invisible">A</span></a></p><p><a href="https://mstdn.social/tags/Python" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Python</span></a> <a href="https://mstdn.social/tags/GitHub" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>GitHub</span></a> <a href="https://mstdn.social/tags/Docker" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Docker</span></a> <a href="https://mstdn.social/tags/MLOps" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MLOps</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/Data" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Data</span></a></p>
udo m. rader ☕ 🇪🇺 🇺🇦 🐧<p>Meanwhile, you can also find a lot of media, civil and public institutions on Mastodon. My personal favorite is the <a href="https://sigmoid.social/tags/running" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>running</span></a> community. Just friendly and nice people who support and motivate each other, no matter how fit or at the very beginning they are. </p><p>Apart from that, it is also very easy to find high-quality content and contacts for my professional focus in IT and currently also for my academic focus <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/MLOps" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MLOps</span></a> (on the way to a PhD).</p><p>2/n</p>
Rami Krispin :unverified:<p>Happy Saturday! ☀️</p><p>This week's agenda:<br>✅ Open Source of the Week - the Llama Recipes<br>✅ Learning resources - Reinforcement learning and probabilistic methods in combinatorics courses, getting started with Quarto dashboard<br>✅ Book of the week - Distributed Machine Learning Patterns by Yuan Tang</p><p><a href="https://www.linkedin.com/pulse/llama-recipes-reinforcement-learning-probabilistic-methods-krispin-okuvc" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">linkedin.com/pulse/llama-recip</span><span class="invisible">es-reinforcement-learning-probabilistic-methods-krispin-okuvc</span></a></p><p><a href="https://mstdn.social/tags/LLM" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>LLM</span></a> <a href="https://mstdn.social/tags/Python" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Python</span></a> <a href="https://mstdn.social/tags/RStats" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>RStats</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/DeepLearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DeepLearning</span></a> <a href="https://mstdn.social/tags/llama" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>llama</span></a> <a href="https://mstdn.social/tags/quartopub" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>quartopub</span></a> <a href="https://mstdn.social/tags/MLOps" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MLOps</span></a></p>
Rami Krispin :unverified:<p>(1/3) Every week, I review an open source in my weekly newsletter. This week, the focus is on the CopilotKit project 🪁.</p><p>I was not aware of this project until I met some of the project's contributors at the Open Source GenAI & ML Summit Europe 2024 conference. It is amazing to see this project's and community's fast growth, with more than 12k stars ⭐️ on Github.</p><p><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/LLM" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>LLM</span></a> <a href="https://mstdn.social/tags/MLOps" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MLOps</span></a> <a href="https://mstdn.social/tags/DataScience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DataScience</span></a></p>
Rami Krispin :unverified:<p>What are the indications that your pipeline is robust? It still works like a clock months after deployment 😎</p><p>Here is an example of an ML pipeline I created for a workshop at the useR!2024 conference four months ago. </p><p>Tutorial: <a href="https://github.com/RamiKrispin/useR2024-pipeline-workshop" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">github.com/RamiKrispin/useR202</span><span class="invisible">4-pipeline-workshop</span></a></p><p><a href="https://mstdn.social/tags/Rstats" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Rstats</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/MachineLearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MachineLearning</span></a> <a href="https://mstdn.social/tags/MLOps" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MLOps</span></a></p>
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