#MLOps

Code Labs Academycodelabsacademyupdates
2025-12-12

Centralizing EHR data for readmission prediction is often impossible. This guide shows Federated Learning with Flower + PyTorch to train a 30‑day readmission model across simulated hospitals, plus practical MLOps, HealthcareAI, and Privacy considerations.

Read → codelabsacademy.com/en/blog/fe

Dutch AI Conferencedutchaicon
2025-12-12

🎤 1 week left to submit your AI talk!

We’re looking for sessions about:
🧠 LLMs & fine-tuning
⚙️ MLOps & scaling
🔄 data pipelines & orchestration
🤖 generative AI
🌱 ethical & responsible AI
📊 vector search & retrieval
🧩 weird experiments, failures & breakthroughs
🛠 “here’s how we solved this”

If you build AI systems, you should be on our stage.

👉 Submit before 19 December: sessionize.com/dac-2026/

Dutch AI Conferencedutchaicon
2025-12-11

We’re looking for sponsors who love tech, creativity and community.
Join the Dutch AI Conference 2026 and reach other enthusiasts!

👉 More info: aiconference.nl/sponsors/packa

PravinVisualPravinvisual
2025-12-11

🎯 𝗡𝗲𝘄 𝗕𝗮𝘁𝗰𝗵 𝗔𝗹𝗲𝗿𝘁: 𝗟𝗲𝗮𝗿𝗻 (𝗚𝗲𝗻𝗔𝗜) 𝗳𝗿𝗼𝗺 𝗦𝗰𝗿𝗮𝘁𝗰𝗵
👨‍🏫 𝗧𝗿𝗮𝗶𝗻𝗲𝗿: Mr. Vivek
📅 𝗗𝗮𝘁𝗲: 17/12/2025 (Wednesday)
⏰ 𝗧𝗶𝗺𝗲: 7:00 AM IST
📍 𝗝𝗼𝗶𝗻 𝗦𝗲𝘀𝘀𝗶𝗼𝗻: teams.microsoft.com/meet/45827
🆔 𝗠𝗲𝗲𝘁𝗶𝗻𝗴 𝗜𝗗: 458 270 623 16950 | 𝗣𝗮𝘀𝘀𝗰𝗼𝗱𝗲: Vz7sC7de
📞 𝗖𝗼𝗻𝘁𝗮𝗰𝘁: +91 7032290546

🚀 𝗜𝗱𝗲𝗮𝗹 𝗳𝗼𝗿 𝗯𝗲𝗴𝗶𝗻𝗻𝗲𝗿𝘀 𝗮𝗻𝗱 𝗽𝗿𝗼𝗳𝗲𝘀𝘀𝗶𝗼𝗻𝗮𝗹𝘀 𝗹𝗼𝗼𝗸𝗶𝗻𝗴 𝘁𝗼 𝘂𝗽𝘀𝗸𝗶𝗹𝗹 𝗶𝗻 𝗔𝗜 𝗾𝘂𝗶𝗰𝗸𝗹𝘆!
📞 𝗪𝗵𝗮𝘁𝘀𝗔𝗽𝗽: wa.me/c/917032290546
🌐 𝗖𝗼𝘂𝗿𝘀𝗲 𝗜𝗻𝗳𝗼: visualpath.in/generative-ai-co
📝 𝗕𝗹𝗼𝗴: visualpathblogs.com/category/g

𝗡𝗲𝘄 𝗕𝗮𝘁𝗰𝗵 𝗔𝗹𝗲𝗿𝘁: 𝗟𝗲𝗮𝗿𝗻 #𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲𝗔𝗜 (𝗚𝗲𝗻𝗔𝗜) 𝗳𝗿𝗼𝗺 𝗦𝗰𝗿𝗮𝘁𝗰𝗵
JAVAPROjavapro
2025-12-11

If you're a team lead asking: “Where should we actually use AI?” — start here. @spoole167’s guide breaks it down per phase: when saves time, when it breaks things, and how to measure both. javapro.io/2025/09/26/where-to

@harnessio @dynatrace

Dutch AI Conferencedutchaicon
2025-12-10

🐦 Early bird tickets until 31 December!

Get your ticket at the best price and join hundreds of developers in Amsterdam for deep-dives, workshops, fun and good vibes.
👉 Secure yours now: dawntechnology.paydro.com/dac-

2025-12-10

Dự án mã nguồn mở nào gần nhất với Claude Code? 3 lựa chọn hàng đầu: Dify (cấu trúc mô-đun, hỗ trợ đa mô hình), MetaGPT (hệ thống agent nhiều vai trò), AutoGPT (tự động hóa với mô hình kết hợp). #AI #MachineLearning #MLOps #Dify #MetaGPT #AutoGPT #OpenSource #Mãnguồn #Trítuệnhân tạo

reddit.com/r/LocalLLaMA/commen

AbracaDataabracadataspace
2025-12-08

🛠️ Apache Airflow 3.0 is changing everything.
New powers like DAG versioning, data assets, and a modern UI make it the most magical version yet.

Whether you’re wrangling ELT jobs or GenAI pipelines, Kenten Danas will guide you through this hands-on workshop.
You’ll walk away ready to orchestrate at a whole new level.
🧙‍♂️ Watch it here: abracadata.space/sessions/2025

Workshop Airflow 3
2025-12-08

🚀 New blog post: Choosing the Right LLM with MLflow

How do you systematically evaluate which open-source LLM performs best for your use case?

I wrote a hands-on guide covering:
✅ Comparing multiple models (Llama, Mistral, DeepSeek)
✅ Docker Compose infrastructure
✅ Complete Python & bash code

The evaluation pipeline works unchanged from local → staging → production.

lotharschulz.info/2025/12/08/c

#MLOps #LLM #MLflow #Python #DevOps #MachineLearning #OpenSource #AI

guide including code on building a LLM evaluation pipeline with MLflow
2025-12-08

OpenAI, Neptune 인수로 AI 학습 가시성 확보: 수천 개 실험 추적의 비밀

OpenAI가 ML 실험 추적 스타트업 Neptune.ai를 인수합니다. 수천 개 실험을 추적하며 AI 학습 과정의 가시성을 확보하는 전략적 선택입니다.

aisparkup.com/posts/7235

Dan Stowelldanstowell
2025-12-05

We will be in 2026, for IT positions (e.g. , software developer, bioinformatician, research software engineer) on a new project at @Naturalis . You should also have an interest in and - that's our kind of unicorn! :) This is just a pre-announcement but feel free to message me

Sinclair Tasinclairdta
2025-12-04

OpenAI Just Bought a Company to Make Training Models Less Painful

OpenAI is acquiring Neptune, a startup that helps teams manage, debug, and monitor AI model training at scale. Think experiment tracking, metrics, versioning—the unsexy glue that turns chaotic training runs into reproducible systems.

The next big AI productivity unlock might not be a smarter LLM. It might be better ways to build, track, and ship the ones we already have.

buff.ly/NzKYz3D

2025-12-04

Как превратить хаотичный ML-проект в систему: пошаговый гайд по DVC + GitHub Actions

Пора строить систему, которая собирается за вечер на двух инструментах: DVC и GitHub Actions . Этот пост - пошаговый гайд , как превратить хаос в полноценный CI/CD‑пайплайн. Без кубернетесов, без сложной инфраструктуры. Зато с автоматизацией, воспроизводимостью и твоим спокойствием :) Начнем ↓ ⠀⠀

habr.com/ru/articles/973268/

#ml #data_science #базы_данных #devops #машинное_обучение #dvc #github_actions #mlops #воспроизводимость #python

Peng Qianqtalen@me.dm
2025-12-04

Tired of Docker Desktop’s license limits? 😩

If you’re building AI agents or data apps in an enterprise environment, you need containers — but Docker Desktop might not be an option.

I just published a quick guide showing how to replace Docker with Podman — fully compatible, open-source, and perfect for running your LLM-driven code safely in containers.

Fast setup, no license issues, same Docker commands.

Check it out 👉
dataleadsfuture.com/a-quick-gu

#ai #docker #containerization #mlops #AIAssistant

Yuan Tang :redhat:terrytangyuan@fosstodon.org
2025-12-03

Tag them in the comments or share this post!

If you are curious about what our teams are working on with open source communities, check out this newsletter that we just launched! inferenceops.substack.com/

#Hiring #WereHiring #NowHiring #JoinOurTeam #JobOpening #CareerOpportunity #JobSearch #HiringAlert #OpenRoles #SoftwareEngineering #KubernetesJobs #CloudNative #AIJobs #MLOps #DevOpsJobs #Careers #GrowthOpportunities #HiringTalent #CFBR

Gaurang Shuklaitsgaurang
2025-12-01

The last few weeks have been incredible for my AI learning journey.
I attended the Season of AI at Microsoft Gurugram and an inspiring session on becoming an AI Generalist by Aashish Pahwa.

Learnt how real AI systems are designed, scaled, deployed, and maintained — from RAG pipelines to MLOps fundamentals.

Already learning AI and MLOps, and these events gave me fresh clarity and motivation.
Looking forward to building more! 🤖✨

Client Info

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