MLOps Community

If you’re unsure about moving to the cloud, consider this example for motivation. It’s not just about keeping up with tech trends; it’s about breaking free from old limitations.

🤯 Crazy. A month ago, I shared my excitement about the MLOps Community event, Agents in Production, which gathered over 10,000 attendees! 🎉 And now, I’m honored to be part of it! 🥳 Thrilled to announce that I’ll be speaking at the Agent Hour bi-weekly event, sharing Best Practices from a 𝚂̲𝚞̲𝚌̲𝚌̲𝚎̲𝚜̲𝚜̲𝚏̲𝚞̲𝚕̲ ̲𝙰̲𝚞̲𝚝̲𝚘̲𝚗̲𝚘̲𝚖̲𝚘̲𝚞̲𝚜̲ ̲𝙰̲𝙸̲ ̲𝙰̲𝚐̲𝚎̲𝚗̲𝚝̲ ̲𝙳̲𝚎̲𝚙̲𝚕̲𝚘̲𝚢̲𝚖̲𝚎̲𝚗̲𝚝̲ in a German Enterprise. Proud to represent BIG PICTURE GmbH and showcase Europe’s contribution to building trustworthy, innovative solutions. This community has been such an inspiration, and I can’t wait to take the (virtual) stage to connect, learn, and share! 🎙️ See you there! 🚀 --> link in comment It's for you if : - basically, if you intend to stay in business in the coming years. Agents (basically AI autonomously doing human job) gonna get biiiiiig, better use them right ! 😎 #AI #AIAgents #Innovation #Management #TechTalk #Technology #aieurope #ki

Can breaking down prompts into smaller components enhance AI evaluation? We discussed this and more at our last reading group session. "The way we approach prompt construction could fundamentally change how we evaluate AI models." Here's Adam Boaz Becker (Habibi) explaining why breaking down monolithic prompts into smaller, testable units might be the key to effective AI evaluation, emphasizing the need for more granular composition in prompt engineering. Subscribe here to stay updated on the next reading group: https://lnkd.in/erdPTQAC #AI #PromptEngineering #MLOps #TechInnovation

No better way to kick off the year than being featured on MLOPS community blog! Thank you Demetrios Brinkmann Binoy Perera for inviting me and giving me the platform to share. Link in comment Excited for another year of learning and sharing! #mlops #machinelearning #ArtificialIntelligence #RAG #RetrievalAugmentedGeneration #GenAI #GenerativeAI

Hello folks! The MLOps Community Bay Area is excited for 2025! We're partnering with Microsoft Reactor of an ONLINE event on Jan 15th talking about strategies for making Agents in the enterprise work. We'll hear from Mike Taylor about Prompt Engineering, Karthik Kalyanaraman about observability, and Love Takshak on Microsoft Copilot on this exciting stream. Please register here: https://lnkd.in/gmg-tSzn

Last Thursday, we had the pleasure of hosting the first MLOps Community AI Meetup in Cape Town—and what an incredible evening it was! The energy was electric with brilliant AI practitioners, enthusiasts, and innovators connecting and sharing knowledge about this transformative technology. The evening featured two thought-provoking talks: • Werner Stucky delivered an insightful exploration of the past, present, and future of LLMs and AI in general, while • Ruan de Kock captivated the audience with a fascinating presentation on reinforcement learning for industrial optimisation. A huge thank you to the speakers, everyone that attended and our sponsors AdvanceGuidance, KingMakers, Peralex Electronics for making the event a success. 📢 If you missed this one, stay tuned—we’ll definitely be hosting more sessions soon. #AI #ArtificialIntelligence #MachineLearning #DataScience

🤖 Slack Wisdom: Final Round-Up for 2024! 🧠 Apurva Misra asked a great question on our Slack, that we thought you should see: “What tools or frameworks are you using to build agentic systems with so many new options out there?” The responses? Pure gold: ✨ PydanticAI is a fan favorite. ✨ LangChain’s still going strong. ✨ Some prefer custom setups for more flexibility. ✨ Tools like Copilot Studio bring unique enterprise solutions. Curious to learn more? Check out the full thread in Slack! Contributors 🧠: Mert Bozkir Médéric HURIER Valdimar Ágúst Eggertsson Cody Peterson Igor Mameshin #MLOps #AgenticSystems #SlackWisdom

Fine-tuning models is essential for training specialized agents to perform niche tasks effectively. Explore prompt management and evaluation to enhance and accurately utilize specialized agents at each step. Enrich your agents' capabilities with implicit and explicit human feedback, ensuring they operate intelligently within desired parameters. Subscribe and join us in January: https://lnkd.in/erdPTQAC!

Boost your model performance with smart data parallelism and offloading techniques.

🎉 What a way to wrap up the year! The MLOps Community Bay Area Holiday Party was an absolute blast—amazing people, good food and all the festive vibes! A huge thank you to everyone who joined us last Friday and supported the community throughout the year. We’re so grateful for the incredible Bay Area and SF MLOps Community, and we can’t wait to bring you even more value with amazing events in 2024. Stay tuned! Shoutout to our incredible local champions—Rahul Parundekar Chandana Srinivasa Hari Masoor Shreeganesh R.. 💪 Here's to a great 2025!