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Independent community publication on MLOps practices, tooling, and production ML.

Whats Special About Meta's Multi-Agent Systems
VideoMay 25, 2026

Whats Special About Meta's Multi-Agent Systems

Meta’s latest presentation detailed a multi‑agent system designed to police short‑form video at the scale of hundreds of millions of daily views. The talk highlighted two core threats: modality‑misalignment, where a video’s audio or text conflicts with visual content,...

By MLOps Community
The Latency Goldilocks Zone Explained
VideoMay 20, 2026

The Latency Goldilocks Zone Explained

The video explores iFood’s new conversational agent, ILO, which aims to move recommendation engines from a reactive, click‑based model to a proactive, AI‑driven experience. Rafael, head of innovation, and Daniel, data‑science manager, explain how ILO combines a rich user profile...

By MLOps Community
Building MCP Before MCP Existed: Inside Despegar's Sofia Agent
VideoMay 20, 2026

Building MCP Before MCP Existed: Inside Despegar's Sofia Agent

Despegar’s new AI concierge, Sofia, is a home‑grown travel assistant that predates the industry‑wide MCP standard. The company built a multi‑agent platform where a core "brain" called Chappie powers category‑specific flows—flights, hotels, cars, activities—allowing any squad to create and customize...

By MLOps Community
Building AI Agents That Survive Production
VideoMay 14, 2026

Building AI Agents That Survive Production

The Seattle AI agents conference opened with Demetrios Brinkman introducing Union AI CTO Hayam, who framed the session around building AI agents that can survive real‑world production. Hayam highlighted the gap between lab‑tested prototypes and the harsh realities of deployment—memory...

By MLOps Community
Stop AI Agents From SQL Injecting Your Database
VideoMay 11, 2026

Stop AI Agents From SQL Injecting Your Database

Avery Kit, a Google staff engineer, explained how his team safeguards AI‑driven database access using the MCP Toolbox. The framework offers a self‑hosted, customizable layer that abstracts credentials, enforces connection pooling, and integrates with Google Cloud services, enabling developers to...

By MLOps Community
Why AI Agents Shouldn't Replace Your Fraud Models
VideoMay 11, 2026

Why AI Agents Shouldn't Replace Your Fraud Models

The talk centered on why AI agents should augment, not replace, fraud detection and other high‑stakes ML systems. Ferran Sanoyan highlighted Chronon, an open‑source data‑foundation platform originally built at Airbnb to streamline feature engineering, and described how it now powers...

By MLOps Community
Getting Humans Out of the Way: How to Work with Teams of Agents
VideoMay 1, 2026

Getting Humans Out of the Way: How to Work with Teams of Agents

The conversation centers on how developers can "get humans out of the way" by building robust validation pipelines for AI‑driven coding agents. Rather than manually QA every feature, engineers define clear criteria—such as visual regression walk‑throughs and custom lint rules—so...

By MLOps Community
OpenXData Conference
VideoApr 22, 2026

OpenXData Conference

OpenXData is hosting a full‑day conference on April 29, 2026 featuring two parallel tracks that explore AI‑native data platforms, data engineering for AI, and large‑scale cost‑performance optimization. Speakers include senior technologists from Uber, Snowflake, Microsoft, IBM, Anthropic, Walmart, Booking.com, and other industry...

By MLOps Community
A New Kind of Marketplace
VideoApr 20, 2026

A New Kind of Marketplace

The conversation between Pedro of Ox and Dona of Process centers on redesigning online classifieds—specifically real‑estate and automotive marketplaces—through AI‑driven agents. Rather than a pure chat interface, they champion a hybrid UI that blends conversational prompts with clickable shortcuts, allowing...

By MLOps Community
The Modern Software Engineer
VideoApr 20, 2026

The Modern Software Engineer

The discussion centers on how AI‑driven coding agents are reshaping the role of the modern software engineer. By automating routine implementation and offering instant learning pathways, these agents enable developers to acquire front‑end or back‑end skills in weeks rather than...

By MLOps Community
AI Agents Summit Seattle
VideoApr 15, 2026

AI Agents Summit Seattle

AI Agents Summit Seattle promises practical, hands‑on guidance for firms grappling with the growing gap between AI agent capabilities and operational stability. Speakers, including industry leaders from 47Billion and Yi Zhou, warned that the rapid rollout of agents in 2025...

By MLOps Community
Production Sub-Agents for LLM Post Training
VideoApr 10, 2026

Production Sub-Agents for LLM Post Training

The talk introduced a new production workflow for post‑training large language models, championed by Pinterest’s growth AI lead. Traditional pipelines required a linear, manual sequence—data cleaning, model selection, hyper‑parameter tuning, evaluation loops, and reinforcement learning—taking four to six weeks. By...

By MLOps Community
Fixing GPU Starvation in Large-Scale Distributed Training
VideoApr 10, 2026

Fixing GPU Starvation in Large-Scale Distributed Training

The video examines a pervasive problem in large‑scale distributed machine‑learning: GPUs sit idle because the data pipeline cannot feed them fast enough. Engineers at Uber and former Google staff explain that the bottleneck is not model architecture or quantization,...

By MLOps Community
Practical Security for AI-Generated Code
VideoApr 3, 2026

Practical Security for AI-Generated Code

Milan Williams, product manager at Segrep, opened the session by warning that AI‑driven code generators are no longer limited to single‑line suggestions; they now produce thousands of lines of code and execute shell commands with elevated credentials. He framed the...

By MLOps Community
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