Memory is one of the thorniest challenges in deploying LLMs. Mem0 introduces a scalable long-term memory architecture that dynamically extracts, consolidates, and retrieves key information from conversations. By using graph-based structures to model relationships between conversational elements, Mem0 enables AI agents that are more accurate, coherent, and production-ready.

Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory // May 2025 Reading Group

Raza Habib, the CEO of LLM Eval platform Humanloop, talks to us about how to make your AI products more accurate and reliable by shortening the feedback loop of your evals. Quickly iterating on prompts and testing what works, along with some of his favorite Dario from Anthropic AI Quotes.

Product Metrics are LLM Evals // Raza Habib CEO of Humanloop

An analysis of the May 2025 incident where xAI's Grok chatbot began inappropriately referencing 'white genocide' in South Africa. This post-mortem delves into the probable cause—a flawed post-processing prompt—framing it as a critical MLOps failure. It underscores the necessity of treating prompts as key artifacts, implementing progressive deployment strategies, and using appropriate metrics for AI safety and reliability.

Prompt Deployment Goes Wrong: xAI Grok's Obsession with White Genocide

It's been two years, and we still seem to see AI disproportionately more in demos than production features. Why? And how can we apply engineering practices we've all learned in the past decades to our advantage here?

Getting AI Apps Past the Demo

<h1>🔥✨ GenAI in Games, 3D Animation &amp; VFX ✨🔥</h1><h3>🗓 June 10th @ 10:00 -11:30 AM PST Pacific West-Coast Time 19:00 - 20:30 CEST Central Eastern Time</h3>🔥Hot Topics 🔥:<ol><li data-list="bullet">AI in Game Development: Friction or Fruition?</li><li data-list="bullet">Demo GenAI game tools usage in pre-production</li><li data-list="bullet">Beyond the Prompt: Using AI as a tool to accelerate execution, not replace creative intent</li><li data-list="bullet">Legal Playbook for AI Creativity</li></ol>Calling all creative visionaries—producers, PMs, creative directors, and pipeline innovators. Join us for a future-forward session exploring how Generative AI is transforming entertainment studios—from previs to post-production. Whether you're navigating massive asset libraries, complex feedback loops, or tightening delivery pipelines, this is your chance to rethink workflows from the ground up—technically, creatively, and legally.Hear from a diverse lineup of presenters, each bringing their unique perspective—from real-time GenAI integration and creative collaboration tools to pipeline automation, IP and legal frameworks, and AI-assisted worldbuilding.Discover how studios are using GenAI to unlock smarter systems, efficient iteration, and more reflective space for creativity, all while addressing the evolving ethical and legal challenges shaping the future of our industry.If you're crafting cinematic universes or building next-gen experiences at scale, this is where innovation meets responsible storytelling power.

GenAi in Games, 3D Animation and VFX

<h1>ALL THINGS AI AGENTS</h1>​Come to learn and see the freshest of fresh.<h2>May 28th at The Hibernia</h2>We’re bringing together the builders, researchers, and doers working on&nbsp;AI Agents in Production&nbsp;in the most lo-fi way possible.<h2>30+ campy booths with practitioners.</h2>Only engineers. No marketers.​We already got a great line-up including&nbsp;Boundary ML, Cleric, Saphira, Happy Robot, Pipeshift, Anthropic, Arcade, Falconer, Prem AI, Tadata and more.<img src="https://d2xo500swnpgl1.cloudfront.net/uploads/mlops/some-file-39e282e0-812a-45ac-90da-fb200b01117e-1746830172336.png"><h2>​3 lightning talks&nbsp;by Experts from:</h2><ol><li data-list="bullet">​Databricks</li><li data-list="bullet">​Orkes</li><li data-list="bullet">​Tonic</li></ol><img alt="some-file-76254893-ce3e-4de6-81f9-2053ea2f5a65" src="https://d2xo500swnpgl1.cloudfront.net/uploads/mlops/some-file-76254893-ce3e-4de6-81f9-2053ea2f5a65-1746830202607.png"><h2>Shout-out to our Sponsors for Supporting the Event</h2><img alt="some-file-7410ae16-2833-4744-b975-ebcd71b6abc5" src="https://d2xo500swnpgl1.cloudfront.net/uploads/mlops/some-file-7410ae16-2833-4744-b975-ebcd71b6abc5-1746830310394.png">

AI Agent Builders Summit: World Tour Kickoff

🔥 Snowflake Mini Summit — Let’s Build for Real 🔥Mark your calendars: 🗓 Wednesday, April 23 🕔 5 PM UK timeWe’re bringing the heat with a Mini Summit you won’t want to miss. If you're building anything with ML, LLMs, agents, or just trying to wrangle data into something useful—this one’s for you.We’re diving into:<ol><li data-list="bullet">Real-world MLOps workflows (no BS, just stuff that works)</li><li data-list="bullet">How teams are using Snowflake, ZenML &amp; Featureform to scale fast</li><li data-list="bullet">What it takes to ship AI products in 2025</li></ol>Expect sharp insights, real talk, and zero fluff. Let’s get tactical, let’s get nerdy, and let’s level up!

Iceberg, MCP, and MLOps: Bridging the gaps for Enterprise

<h1>AI Agents: Talks and Virtual Roundtables</h1>We're on to our eighth bi-weekly Agent Hour as we continue the conversation about AI agents. Agent Hour Part #8 will kick off with 2 talks from <a href="https://www.linkedin.com/in/aditya-gautam-68233a30/ " rel="noopener noreferrer" target="_blank">Aditya Gautam @ Meta</a> &amp; <a href="https://www.linkedin.com/in/vamsisaladi99/" rel="noopener noreferrer" target="_blank">Vamsi Saladi @ Contour</a>. We'll of course wrap up with an interactive roundtable discussion.<h2>No fluff, just ideas that matter and people who are making it happen!</h2>

Agent Hour

AI systems don’t just need to be intelligent—they need to be reliable and resilient in real-world applications. This session brings together experts who have tackled the toughest challenges in AI deployment, from shipping production-ready LLMs to building fault-tolerant data pipelines.🔹 Breaking the Demo Barrier and Getting Agents Shipped – Learn how to make LLMs production-ready with structured prompting, dynamic routing, and error-handling strategies. Discover why JSON might be holding back your model's accuracy!🔹 Failure is Always an Option: What Apollo Can Teach Us About Resilient Data Pipelines – Take lessons from NASA’s Apollo mission to build resilient and self-healing data pipelines that won’t fail under pressure. 🔹 Modal: ML Infra That Does Not Suck – Building an application on the cloud doesn’t have to be painful—even when using GPUs and foundation models! This talk introduces Modal, the serverless Python infrastructure you didn’t know you always wanted.Whether you're working on AI-driven apps, data pipelines, or pushing the boundaries of structured outputs, this session will equip you with battle-tested strategies to take your AI systems from demo to deployment.Don’t miss out—join us live!

Building Robust AI Systems with Battle-tested Frameworks

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