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MLOps Community

The MLOps Community is where machine learning practitioners come together to define and implement MLOps. Our global community is the default hub for MLOps practitioners to meet other MLOps industry professionals, share their real-world experience and challenges, learn skills and best practices, and collaborate on projects and employment opportunities. We are the world's largest community dedicated to addressing the unique technical and operational challenges of production machine learning systems.

Events

3:30 PM - 10:30 PM, Jul 17 GMT
Agents in Production 2025
4:00 PM - 5:00 PM, Jul 2 GMT
Building AI That Doesn’t Break
5:00 PM - 6:30 PM, Jun 10 GMT
GenAi in Games, 3D Animation and VFX

Content

video
Nick Coleman shares his journey from high-volume Social Security disability practice to founding LexMed, a legal tech startup leveraging AI to transform how attorneys handle complex cases. He'll discuss LexMed's dual AI platforms: Hearing Echo, which automates transcription and analysis of disability hearings with speaker identification and critical testimony validation, and ChartVision, which combines human medical abstraction with AI to extract and map medical evidence to disability criteria. Nick will explain how "vibe coding" has dramatically reduced friction between his subject matter expertise and technical implementation, enabling rapid prototyping that preserves legal insights through development. By bridging domain knowledge and technology, LexMed has created solutions that address the real-world challenges he experienced firsthand in his high-volume disability practice, offering valuable lessons for AI implementation in other specialized fields.
Jul 15th, 2025 | Views 11
Blog
Learn why stuffing prompts with excessive context actually hurts AI performance. This guide shows how irrelevant information confuses LLMs, the 'lost in the middle' effect, and proven techniques for cleaning and optimizing prompts to improve accuracy, reduce costs, and boost reliability in production AI systems.
Jul 15th, 2025 | Views 65
video
What if AI could build and maintain your software—like a co-worker who never forgets state? In this episode, Jiquan Ngiam chats with Demetrios about agents that actually do the work: parsing emails, updating spreadsheets, and reshaping how we design software itself. Less hype, more hands-on AI—tune in for a glimpse at the future of truly personalized computing.
Jul 14th, 2025 | Views 50