MLOps Community
+00:00 GMT
MLOps Community Podcast
# Claude
# Pokemon
# Anthropic

Claude Plays Pokémon - A Conversation with the Creator

Demetrios chats with David Hershey from Anthropic’s Applied AI team about his agent-powered Pokémon project using Claude. They explore agent frameworks, prompt optimization vs. fine-tuning, and AI’s growing role in software, legal, and accounting fields. David highlights how managed AI platforms simplify deployment, making advanced AI more accessible.
David Hershey
Demetrios Brinkmann
David Hershey & Demetrios Brinkmann · Mar 20th, 2025
Popular topics
# Interview
# Case Study
# Model Serving
# Machine Learning
# AI
# RAG
# FinTech
# Open Source
# Cultural Side
# Scaling
# Deployment
# Data Science
# LinkedIn
# MLOps Cycle
# Rule-bases Systems
# Artificial Intelligence
# Intelligence
# Foundational Models and MLOps
# LLM in Production
# Generative AI
All
George Mathew
Demetrios Brinkmann
George Mathew & Demetrios Brinkmann · Mar 18th, 2025
George Mathew (Insight Partners) joins Demetrios to break down how AI and ML have evolved over the past few years and where they’re headed. He reflects on the major shifts since his last chat with Demetrios, especially how models like ChatGPT have changed the game. George dives into "generational outcomes"—building companies with lasting impact—and the move from rule-based software to AI-driven reasoning engines. He sees AI becoming a core part of all software, fundamentally changing business operations. The chat covers the rise of agent-based systems, the importance of high-quality data, and recent breakthroughs like Deep SEQ, which push AI reasoning further. They also explore AI’s future—its role in software, enterprise adoption, and everyday life.
# Reasoning Engines
# Generational Outcomes
# Insight Partners
1:05:27
Erica Hughberg
Demetrios Brinkmann
Erica Hughberg & Demetrios Brinkmann · Mar 14th, 2025
The way we handle API traffic is broken for GenAI. We've spent years optimizing for microservices—fast, stateless, and lightweight API calls. But GenAI changes everything. Requests are slower, heavier, and more complex, requiring long-lived connections, massive payloads, and streaming responses. Suddenly, traditional API gateways are struggling—timeout limits are too short, rate limiting models don’t fit, and payload constraints are blocking innovation. In this episode, we unpack the new challenges of GenAI traffic and why infrastructure must evolve—again. We look back at previous API shifts, from the C10K problem to the monolith-to-microservices revolution, and how they reshaped networking. Now, AI-driven workloads demand a new kind of API gateway—one that handles token-based rate limiting, cost-aware request shaping, and scalable AI inference traffic.
# GenAI
# API Infrastructure
# Tetrate
1:06:25
Rohit Krishnan
Demetrios Brinkmann
Rohit Krishnan & Demetrios Brinkmann · Mar 11th, 2025
Rohit Krishnan, Chief Product Officer at Bodo.AI, joins Demetrios to discuss AI's evolving landscape. They explore interactive reasoning models, AI's impact on jobs, scalability challenges, and the path to AGI. Rohit also shares insights on Bodo.AI’s open-source move and its impact on data science.
# AGI
# AI
# Data
# Bodo
54:17
Alexa Griffith
Demetrios Brinkmann
Alexa Griffith & Demetrios Brinkmann · Mar 7th, 2025
Alexa shares her journey into software engineering, from early struggles with Airflow and Kubernetes to leading open-source projects like the Envoy AI Gateway. She and Demetrios discuss AI model deployment, tooling differences across tech roles, and the importance of abstraction. They highlight aligning technical work with business goals and improving cross-team communication, offering key insights into MLOps and AI infrastructure.
# Kubernetes
# AI
# MLOps
# Bloomberg
50:12
Key lessons for founders that are thinking about or starting their companies. 15 years of inception stage investing from how data science companies like Yhat went to market in 2013-14 and how that's evolved, to building companies around OSS frameworks like CrewAI; Eliot share's key learnings and questions for founders starting out.
# Software Agents
# Start ups
# Boldstart Ventures
52:21
Kenny Daniel
Demetrios Brinkmann
Kenny Daniel & Demetrios Brinkmann · Feb 18th, 2025
In this episode, we talk with Kenny Daniel, founder of Hyperparam, to explore why actually looking at your data is the most high-leverage move you can make for building state-of-the-art models. It used to be that the first step of data science was to get familiar with your data. However, as modern LLM datasets have gotten larger, dataset exploration tools have not kept up. Kenny makes the case that user interfaces have been under-appreciated in the Python-centric world of AI, and new tools are needed to enable advances in machine learning. Our conversation also dives into new methods of using LLM models themselves to assist data engineers in actually looking at their data.
# Data
# LLM
# Hyperparam
1:05:26
Alex Miłowski
Demetrios Brinkmann
Alex Miłowski & Demetrios Brinkmann · Feb 14th, 2025
There seems to be a shift from workflow languages to code - mostly annotation pythons - happening and getting us. It is a symptom of how complex workflow orchestration has gotten. Is it a dominant trend or will we cycle back to “DAG specifications”? At Stitchfix, we had our own DSL that “compiled” into airflow DAGs and at MicroByre, we used a external workflow langauge. Both had a batch task executor on K8s but at MicroByre, we had human and robot in the loop workflows.
# Workflow
# Orchestration
# DAG
1:14:35
Willem Pienaar
Demetrios Brinkmann
Willem Pienaar & Demetrios Brinkmann · Feb 11th, 2025
In this MLOps Community Podcast episode, Willem Pienaar, CTO of Cleric, breaks down how they built an autonomous AI SRE that helps engineering teams diagnose production issues. We explore how Cleric builds knowledge graphs for system understanding, and uses existing tools/systems during investigations. We also get into some gnarly challenges around memory, tool integration, and evaluation frameworks, and some lessons learned from deploying to engineering teams.
# AI SRE
# Knowledge Graphs
# Cleric AI
55:58
Vinu Sankar Sadasivan
Demetrios Brinkmann
Vinu Sankar Sadasivan & Demetrios Brinkmann · Feb 7th, 2025
Recent rapid advancements in Artificial Intelligence (AI) have made it widely applicable across various domains, from autonomous systems to multimodal content generation. However, these models remain susceptible to significant security and safety vulnerabilities. Such weaknesses can enable attackers to jailbreak systems, allowing them to perform harmful tasks or leak sensitive information. As AI becomes increasingly integrated into critical applications like autonomous robotics and healthcare, the importance of ensuring AI safety is growing. Understanding the vulnerabilities in today’s AI systems is crucial to addressing these concerns.
# AI
# Data Privacy
# Google DeepMind
48:21
Alex Strick  van Linschoten
Demetrios Brinkmann
Alex Strick van Linschoten & Demetrios Brinkmann · Jan 31st, 2025
Alex Strick van Linschoten, a machine learning engineer at ZenML, joins the MLOps Community podcast to discuss his comprehensive database of real-world LLM use cases. Drawing inspiration from Evidently AI, Alex created the database to organize fragmented information on LLM usage, covering everything from common chatbot implementations to innovative applications across sectors. They discuss the technical challenges and successes in deploying LLMs, emphasizing the importance of foundational MLOps practices. The episode concludes with a call for community contributions to further enrich the database and collective knowledge of LLM applications.
# ChatBot
# LLM
# ZenML
48:20
Popular