Jeff Huber drops some hard truths about “context rot” — the slow decay of AI memory that’s quietly breaking your favorite models. From retrieval chaos to the hidden limits of context windows, he and Demetrios Brinkmann unpack why most AI systems forget what matters and how Chroma is rethinking the entire retrieval stack. It’s a bold look at whether smarter AI means cleaner context — or just better ways to hide the mess.

Context Engineering, Context Rot, & Agentic Search with the CEO of Chroma, Jeff Huber

Voice AI is finally growing up—but not without drama. Brooke Hopkins joins Demetrios Brinkmann to unpack why most “smart” voice systems still feel dumb, what it actually takes to make them reliable, and how startups are quietly outpacing big tech in building the next generation of voice agents.

Reliable Voice Agents

Combo-Banana is an open-source prototype based on Google's Nano Banana, designed to empower product designers by allowing them to quickly define and automate their multi-step image editing workflows. This tool transforms tedious, repetitive tasks—like background removal, color correction, and integration into new scenes—into a fast, consistent, and automated process, freeing designers to focus on creative work.

Combo-Banana: Building Custom Image Workflows in Record Time

In today’s data-driven IT landscape, managing ML lifecycles and operations is converging.
On this podcast, we’ll explore how end-to-end ML lifecycle practices extend to proactive, automation-driven IT operations.

We'll discuss key MLOps concepts—CI/CD pipelines, feature stores, model monitoring—and how they power anomaly detection, event correlation, and automated remediation. 

The Future of AI Operations: Insights from PwC AI Managed Services

This month's paper: <h1><a href="https://arxiv.org/abs/2506.18203" rel="noopener noreferrer" target="_blank">Shrinking the Generation-Verification Gap with Weak Verifiers</a></h1> Language models are getting better at reasoning but their ability to verify their own outputs still lags behind. This paper tackles that challenge head-on by introducing Weaver, a framework that combines multiple weak verifiers into a single, stronger verifier without relying heavily on labeled data.Weaver uses weak supervision to estimate verifier reliability, normalize inconsistent outputs, and filter low-quality signals, resulting in a unified score that better reflects true response quality. In practice, this approach significantly boosts reasoning and math task performance rivaling models several times larger, such as achieving o3-mini-level accuracy using only Llama 3.3 70B as the generator. <h2>💡 Special Guest - Author of paper:</h2><h2>We’re thrilled to be joined by the Jon Saad-Falcon, Stanford PhD Candidate in Computer Science, to discuss the paper and take questions from the group.</h2> 📅 Date: November 20th🕚 Time: 11amET<h2>Speakers: <a href="https://www.linkedin.com/in/adamissimo/overlay/about-this-profile/" rel="noopener noreferrer" target="_blank">Adam Boaz Becker</a> - Founder, HeadOn. <a href="https://www.linkedin.com/in/anaanna417/overlay/about-this-profile/" rel="noopener noreferrer" target="_blank">Jimin (Anna) Yoon</a> - Tech Lead / Senior Software Engineer</h2><h2>Moderator <a href="https://www.linkedin.com/in/arthurcoleman/overlay/about-this-profile/" rel="noopener noreferrer" target="_blank">Arthur Coleman</a>: CEO, OnlineMatters Inc.</h2> Join the #reading-group channel in the MLOps Community Slack to connect before and after the session.

MLOps Reading Group Nov – Shrinking the Generation-Verification Gap with Weak Verifiers

<h1>The Virtual AI Event That’s Actually... Fun</h1>We know what you’re thinking: another virtual conference. Talking heads, awkward silences, and the constant urge to check your email… we’ve all been there.Not this one.<h3>100% AI Agents in Prod. BUT This Isn't Just Another Zoom Link.</h3>Welcome to Agents in Production: the latest edition of the MLOps × Prosus AI Virtual Conference.We’re bringing together the brightest minds building AI agents, with a high-energy format designed to keep you hooked from start to finish.Last year, companies stopped experimenting with agents and started deploying them in the real world. We heard from the pioneers who turned hype into working systems - and this year, we’re doubling down.Expect real progress, real lessons, and real breakthroughs shaping the future of agentic AI. You’ll get cutting-edge, actionable insights that move you from experimentation to full-scale deployment.<h2>30+ Talks on AI Agents. I Promise You Won’t Log Off Early</h2>Why Attend:<ol><li data-list="bullet">Talks from top experts&nbsp;– Real-world lessons, practical insights, and breakthroughs defining agentic AI.</li><li data-list="bullet">Hilarious skits &amp; live music&nbsp;– Because learning should be fun.</li><li data-list="bullet">High-energy engagement&nbsp;– Interactive moments that make&nbsp;you&nbsp;part of the action.</li></ol>If You Miss This, You’ll Miss:<ol><li data-list="bullet">Hard-won lessons&nbsp;– How leading companies are successfully deploying agents at scale.</li><li data-list="bullet">Deep dives&nbsp;– Technical sessions and workshops from the voices shaping the next generation of AI.</li><li data-list="bullet">Global connections&nbsp;– Network with innovators and practitioners across the ML community.</li></ol>This is your chance to get up to speed on the global AI scene, connect with innovators, and experience a virtual event you’ll&nbsp;actually&nbsp;enjoy.See you there!&nbsp;

Agents in Production - MLOps x Prosus

AI Agent Builder Summit SF

<h1>AI Agents Are Already Working — Let’s Talk About It</h1>Agents are no longer just experiments. From e-commerce to customer support to analytics workflows, they’re quietly getting real work done in production.On July 17, join the MLOps Community for Part 2 of Agents in Production — a virtual event focused on the messy, practical side of building and deploying AI agents.What’s on deck?<ol><li data-list="bullet">Taming complexity: agent memory, behavior control, latency vs. response tradeoffs</li><li data-list="bullet">Stories from the field: How companies are actually using agents in live environments</li><li data-list="bullet">Tooling that works: routing, evaluation, UX, and cost performance in the wild</li></ol><h2>It’s free, it’s global, and it’s going to be packed. </h2>

Agents in Production 2025

Your AI shouldn’t just work in the demo. It should work in production.Join us for a high-impact, no-fluff Mini Summit focused on building AI applications that can withstand the real world — where APIs fail, users take days to respond, and servers crash without warning. Whether you’re deep into building with LLMs or just starting to explore how to operationalize your AI systems, this event is packed with practical insights, real-world strategies, and modern tooling to help you ship reliable AI that doesn’t break. What’s on the agenda?🔹 Process Calling: Agentic Tools Need State Function calling gave LLMs a way to "do" things — but it’s not enough. When you’re building agents for customer-facing use cases, stateless abstractions fall short fast. Learn why the future of agentic tooling is process-based, not function-based, and what it means to build agents that remember, recover, and reliably finish what they start. 🔹 Building Reliable AI Applications with Durable Workflows Chaining functions together is easy. Keeping AI workflows running when things go sideways? That’s the hard part. This talk introduces durable workflows — systems that checkpoint state, recover automatically, and gracefully handle everything from human delays to API flakiness. You’ll see real examples of AI pipelines that stay resilient in production. 🔹 No YAML? No Problem: Orchestrate Kubernetes Workflows the Easy Way with Python Sick of writing orchestration logic in YAML? You’re not alone. Discover how Hera, the Python SDK for Argo Workflows, lets you express complex Kubernetes workflows using clean, testable Python code. Keep your business logic and orchestration logic in one place — no indentation nightmares required. Who should attend? AI engineers, MLOps professionals, infra leads, and builders who care about more than just flashy demos. If you're looking to make your AI actually work at scale, this one's for you. RSVP now and start building AI that doesn’t break.

Building AI That Doesn’t Break

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