A weekly podcast on technical topics related to cloud computing including: MLOPs, LLMs, AWS, Azure, GCP, Multi-Cloud and Kubernetes.
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Relaxed Conversations around getting AI into production, whatever shape that may come in (agentic, traditional ML, LLMs, Vibes, etc)
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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Sam Charrington
Machine learning and artificial intelligence are dramatically changing the way businesses operate and people live. The TWIML AI Podcast brings the top minds and ideas from the world of ML and AI to a broad and influential community of ML/AI researchers, data scientists, engineers and tech-savvy business and IT leaders. Hosted by Sam Charrington, a sought after industry analyst, speaker, commentator and thought leader. Technologies covered include machine learning, artificial intelligence, de ...
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DataTalks.Club - the place to talk about data!
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Get behind-the-scenes insights into the world of internal ML platforms and MLOps stack components with Piotr Niedźwiedź and Aurimas Griciūnas in their show, where together with ML platform professionals, they discuss design choices, best practices, and real-world solutions to MLOps challenges. Brought to you by neptune.ai.
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Machine learning audio course, teaching the fundamentals of machine learning and artificial intelligence. It covers intuition, models (shallow and deep), math, languages, frameworks, etc. Where your other ML resources provide the trees, I provide the forest. Consider MLG your syllabus, with highly-curated resources for each episode's details at ocdevel.com. Audio is a great supplement during exercise, commute, chores, etc.
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“Thinking Machines,” hosted by Daniel Reid Cahn, bridges the worlds of artificial intelligence and philosophy - aimed at technical audiences. Episodes explore how AI challenges our understanding of topics like consciousness, free will, and morality, featuring interviews with leading thinkers, AI leaders, founders, machine learning engineers, and philosophers. Daniel guides listeners through the complex landscape of artificial intelligence, questioning its impact on human knowledge, ethics, a ...
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Ubuntu AI is a community where experts talk about the impact of artificial intelligence, machine learning and data science. There will be technical and business conversations focused on open-source technology and its importance of it in the area. Andreea Munteanu, AI/ML Product Manager, and Maciej Mazur, Principal AI/ML Engineer, are your hosts, walking through a wide range of conversations about machine learning operations, open source tooling, artificial intelligence and more… If you want ...
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Each webinar features an SEI researcher discussing their research on software and cybersecurity problems of considerable complexity. The webinar series is a way for the SEI to accomplish its core purpose of improving the state-of-the-art in software engineering and cybersecurity and transitioning this work to the community. The SEI is a federally funded research and development center sponsored by the U.S. Department of Defense and operated by Carnegie Mellon University. The SEI Webinar Seri ...
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Programming Throwdown educates Computer Scientists and Software Engineers on a cavalcade of programming and tech topics. Every show will cover a new programming language, so listeners will be able to speak intelligently about any programming language.
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The dos and don'ts of continuous delivery, DevOps, and infrastructure.
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Tune in to hear Amanda Razani and Mike Vizard share valuable insights as they explore the latest in artificial intelligence news, discuss key issues and speculate on the future of AI, LLMs and machine learning.
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Brought to you by Arthur, the AI Performance Company, Ground Truth is a podcast featuring the brightest minds in AI, ML, and data science. Join us for engaging and thought-provoking conversations with industry leaders about everything from generative models to data privacy to fairness in AI.
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A deep dive into data scientists' day-to-day work, tools and models they use, how they tackle problems, and their career journeys. This podcast helps you grow a successful career in data science. Listening to an episode is like having lunch with an experienced mentor. Guests are data science practitioners from various industries, AI researchers, economists, and CTOs of AI companies. Host: Daliana Liu, an ex-Amazon senior data scientist with 180k followers on Linkedin. Join 20k subscribers at ...
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Learn the latest and greatest applications of machine learning from cutting-edge thought leaders, in the time it takes to do the dishes. Every other Wednesday, join Monte Zweben for fascinating conversations with researchers and practitioners in the machine learning world. Discover new applications of machine learning and artificial intelligence in every 15-minute episode.
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Beer is one of the oldest and most widely consumed alcoholic drinks in the world, and the third most popular drink overall after water and tea. Cybersecurity is required today for businesses to protect themselves from the persistent threat of malware and ransomware. Hosts Chris Jordan, CEO of Fluency Security, and Jeremy Murtishaw, CEO of Fortify 24x7 discuss cybersecurity, information technology, and hockey with their guests while enjoying some of their favorite beers. Grab your favorite be ...
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An Introduction to the MLOps Tool Evaluation Rubric
1:00:23
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1:00:23Organizations looking to build and adopt artificial intelligence (AI)–enabled systems face the challenge of identifying the right capabilities and tools to support Machine Learning Operations (MLOps) pipelines. Navigating the wide range of available tools can be especially difficult for organizations new to AI or those that have not yet deployed sy…
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Packaging MLOps Tech Neatly for Engineers and Non-engineers // Jukka Remes // #322
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55:30Packaging MLOps Tech Neatly for Engineers and Non-engineers // MLOps Podcast #322 with Jukka Remes, Senior Lecturer (SW dev & AI), AI Architect at Haaga-Helia UAS, Founder & CTO at 8wave AI. Join the Community: https://go.mlops.community/YTJoinIn Get the newsletter: https://go.mlops.community/YTNewsletter // Abstract AI is already complex—adding th…
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Bridging the Gap Between AI and Business Data // Deepti Srivastava // #325
57:13
57:13
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57:13Bridging the Gap Between AI and Business Data // MLOps Podcast #325 with Deepti Srivastava, Founder and CEO at Snow Leopard. Join the Community: https://go.mlops.community/YTJoinIn Get the newsletter: https://go.mlops.community/YTNewsletter // Abstract I’m sure the MLOps community is probably aware – it's tough to make AI work in enterprises for ma…
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LLMs for Equities Feature Forecasting at Two Sigma with Ben Wellington - #736
59:31
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59:31Today, we're joined by Ben Wellington, deputy head of feature forecasting at Two Sigma. We dig into the team’s end-to-end approach to leveraging AI in equities feature forecasting, covering how they identify and create features, collect and quantify historical data, and build predictive models to forecast market behavior and asset prices for tradin…
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The Creator of FastAPI’s Next Chapter // Sebastián Ramírez // #324
1:09:37
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1:09:37The Creator of FastAPI’s Next Chapter // MLOps Podcast #324 with Sebastián Ramírez, Developer at FastAPI Labs. Join the Community: https://go.mlops.community/YTJoinIn Get the newsletter: https://go.mlops.community/YTNewsletter // Abstract The creator of FastAPI is back with a new chapter—FastAPI Cloud. From building one of the most loved dev tools …
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Everything Hard About Building AI Agents Today
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47:02Willem Pienaar and Shreya Shankar discuss the challenge of evaluating agents in production where "ground truth" is ambiguous and subjective user feedback isn't enough to improve performance. The discussion breaks down the three "gulfs" of human-AI interaction—Specification, Generalization, and Comprehension—and their impact on agent success. Willem…
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Tricks to Fine Tuning // Prithviraj Ammanabrolu // #318
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54:01Tricks to Fine Tuning // MLOps Podcast #318 with Prithviraj Ammanabrolu, Research Scientist at Databricks. Join the Community: https://go.mlops.community/YTJoinIn Get the newsletter: https://go.mlops.community/YTNewsletter // Abstract Prithviraj Ammanabrolu drops by to break down Tao fine-tuning—a clever way to train models without labeled data. Us…
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Zero-Shot Auto-Labeling: The End of Annotation for Computer Vision with Jason Corso - #735
56:45
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56:45Today, we're joined by Jason Corso, co-founder of Voxel51 and professor at the University of Michigan, to explore automated labeling in computer vision. Jason introduces FiftyOne, an open-source platform for visualizing datasets, analyzing models, and improving data quality. We focus on Voxel51’s recent research report, “Zero-shot auto-labeling riv…
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Hard Learned Lessons from Over a Decade in AI
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48:42Tecton Founder and CEO Mike Del Balso talks about what ML/AI use cases are core components generating Millions in revenue. Demetrios and Mike go through the maturity curve that predictive Machine Learning use cases have gone through over the past 5 years, and why a feature store is a primary component of an ML stack. // Bio Mike Del Balso is the C…
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Grokking, Generalization Collapse, and the Dynamics of Training Deep Neural Networks with Charles Martin - #734
1:25:21
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1:25:21Today, we're joined by Charles Martin, founder of Calculation Consulting, to discuss Weight Watcher, an open-source tool for analyzing and improving Deep Neural Networks (DNNs) based on principles from theoretical physics. We explore the foundations of the Heavy-Tailed Self-Regularization (HTSR) theory that underpins it, which combines random matri…
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Product Metrics are LLM Evals // Raza Habib CEO of Humanloop // #320
53:06
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53:06Raza 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. // Bio Raza is the CEO and Co-founder at Humanloop. He has a…
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Auto encoders are neural networks that compress data into a smaller "code," enabling dimensionality reduction, data cleaning, and lossy compression by reconstructing original inputs from this code. Advanced auto encoder types, such as denoising, sparse, and variational auto encoders, extend these concepts for applications in generative modeling, in…
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Getting AI Apps Past the Demo // Vaibhav Gupta // #319
50:29
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50:29Getting AI Apps Past the Demo // MLOps Podcast #319 with Vaibhav Gupta, CEO of BoundaryML. Join the Community: https://go.mlops.community/YTJoinIn Get the newsletter: https://go.mlops.community/YTNewsletter // Abstract It's been two years, and we still seem to see AI disproportionately more in demos than production features. Why? And how can we app…
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Today, I’m excited to share a special crossover edition of the podcast recorded live from Google I/O 2025! In this episode, I join Shawn Wang aka Swyx from the Latent Space Podcast, to interview Logan Kilpatrick and Shrestha Basu Mallick, PMs at Google DeepMind working on AI Studio and the Gemini API, along with Kwindla Kramer, CEO of Daily and cre…
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From Hackathons to Developer Advocacy - Will Russel
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57:10In this podcast episode, we talked with Will Russell about From Hackathons to Developer Advocacy. About the Speaker: Will Russell is a Developer Advocate at Kestra, known for his videos on workflow orchestration. Previously, Will built open source education programs to help up and coming developers make their first contributions in open source. Wit…
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Building Out GPU Clouds // Mohan Atreya // #317
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47:57Demetrios and Mohan Atreya break down the GPU madness behind AI — from supply headaches and sky-high prices to the rise of nimble GPU clouds trying to outsmart the giants. They cover power-hungry hardware, failed experiments, and how new cloud models are shaking things up with smarter provisioning, tokenized access, and a whole lotta hustle. It's a…
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The plastic shamans of OpenAI🔥 Hot Course Offers:- 🤖 Master GenAI Engineering - Build Production AI Systems- 🦀 Learn Professional Rust - Industry-Grade Development- 📊 AWS AI & Analytics - Scale Your ML in Cloud- ⚡ Production GenAI on AWS - Deploy at Enterprise Scale- 🛠️ Rust DevOps Mastery - Automate Everything🚀 Level Up Your Career:- 💼 Production …
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RAG Risks: Why Retrieval-Augmented LLMs are Not Safer with Sebastian Gehrmann - #732
57:09
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57:09Today, we're joined by Sebastian Gehrmann, head of responsible AI in the Office of the CTO at Bloomberg, to discuss AI safety in retrieval-augmented generation (RAG) systems and generative AI in high-stakes domains like financial services. We explore how RAG, contrary to some expectations, can inadvertently degrade model safety. We cover examples o…
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The Toyota Way: Engineering Discipline in the Era of Dangerous Dilettantes
14:38
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14:38Dangerous Dilettantes vs. Toyota Way Engineering Core Thesis The influx of AI-powered automation tools creates dangerous dilettantes - practitioners who know just enough to be harmful. The Toyota Production System (TPS) principles provide a battle-tested framework for integrating automation while maintaining engineering discipline. Historical Conte…
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A Candid Conversation Around MCP and A2A // Rahul Parundekar and Sam Partee // #316 SF Live
1:04:42
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1:04:42Demetrios, Sam Partee, and Rahul Parundekar unpack the chaos of AI agent tools and the evolving world of MCP (Model Context Protocol). With sharp insights and plenty of laughs, they dig into tool permissions, security quirks, agent memory, and the messy path to making agents actually useful. // Bio Sam Partee Sam Partee is the CTO and Co-Founder of…
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The State of DevSecOps in the DoD: Where We Are, and What’s Next
58:42
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58:42DevSecOps practices foster collaboration among software development, security, and operations teams to build, test, and release software quickly and reliably. A high-stakes, high-security environment has challenged the implementation of these practices within the Department of Defense (DoD). The DoD Chief Information Officer (CIO) organization part…
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AI in M&A: Building, Buying, and the Future of Dealmaking // Kison Patel // #315
55:32
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55:32AI in M&A: Building, Buying, and the Future of Dealmaking // MLOps Podcast #315 with Kison Patel, CEO and M&A Science at DealRoom . Join the Community: https://go.mlops.community/YTJoinIn Get the newsletter: https://go.mlops.community/YTNewsletter // AbstractThe intersection of M&A and AI, exploring how the DealRoom team developed AI capabilities a…
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Extensive Notes: The Truth About AI and Your Coding Job Types of AI Narrow AI Not truly intelligent Pattern matching and full text search Examples: voice assistants, coding autocomplete Useful but contains bugs Multiple narrow AI solutions compound bugs Get in, use it, get out quickly AGI (Artificial General Intelligence) No evidence we're close to…
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I Spy with My Hacker Eye: How Hackers Use Public Info to Crack Your Creds
57:16
57:16
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57:16Did you know there are 500 million tweets per day? 3 billion monthly active Facebook users? 1 billion LinkedIn members? Are you one of them? In this webcast, Destiney Marie Plaza reveals how a hacker can use seemingly benign public information to customize an attack on a victim by showing a scenario-based attack and demo (using free and open-source…
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No Dummy, AI Isn't Replacing Developer Jobs
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14:41Extensive Notes: "No Dummy: AI Will Not Replace Coders" Introduction: The Critical Thinking Problem America faces a critical thinking deficit, especially evident in narratives about AI automating developers' jobs Speaker advocates for examining the narrative with core critical thinking skills Suggests substituting the dominant narrative with altern…
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The Narrow Truth: Dismantling IntelligenceTheater in Agent Architecture
10:34
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10:34how Gen.AI companies combine narrow ML components behind conversational interfaces to simulate intelligence. Each agent component (text generation, context management, tool integration) has direct non-ML equivalents. API access bypasses the deceptive UI layer, providing better determinism and utility. Optimal usage requires abandoning open-ended in…
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The Pirate Bay Hypothesis: Reframing AI's True Nature
8:31
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8:31Episode Summary: A critical examination of generative AI through the lens of a null hypothesis, comparing it to a sophisticated search engine over all intellectual property ever created, challenging our assumptions about its transformative nature. Keywords: AI demystification, null hypothesis, intellectual property, search engines, large language m…
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AI, Marketing, and Human Decision Making // Fausto Albers // #313
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49:40AI, Marketing, and Human Decision Making // MLOps Podcast #313 with Fausto Albers, AI Engineer & Community Lead at AI Builders Club. Join the Community: https://go.mlops.community/YTJoinIn Get the newsletter: https://go.mlops.community/YTNewsletter // Abstract Demetrios and Fausto Albers explore how generative AI transforms creative work, decision-…
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From Prompts to Policies: How RL Builds Better AI Agents with Mahesh Sathiamoorthy - #731
1:01:25
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1:01:25Today, we're joined by Mahesh Sathiamoorthy, co-founder and CEO of Bespoke Labs, to discuss how reinforcement learning (RL) is reshaping the way we build custom agents on top of foundation models. Mahesh highlights the crucial role of data curation, evaluation, and error analysis in model performance, and explains why RL offers a more robust altern…
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MLOps with Databricks // Maria Vechtomova // #314
52:43
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52:43MLOps with Databricks // MLOps Podcast #314 with Maria Vechtomova, MLOps Tech Lead | Founder at Ahold Delhaize | Marvelous MLOps. Join the Community: https://go.mlops.community/YTJoinIn Get the newsletter: https://go.mlops.community/YTNewsletter // Abstract The world of MLOps is very complex as there is an endless amount of tools serving its purpos…
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Intro topic: Video Game Prices News/Links: Step one: Jump in the Lava - Abyssoft https://youtu.be/WdadpHLAfdA?si=oXYnhB0EdkR_RaPE Scalable world models for continuous control https://www.tdmpc2.com/ Clever code is probably the worst code you could write - Engineer’s Codex https://read.engineerscodex.com/p/clever-code-is-probably-the-worst A new, op…
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Build a Strong Career in Data - Lavanya Gupta
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51:59In this podcast episode, we talked with Lavanya Gupta about Building a Strong Career in Data. About the Speaker: Lavanya is a Carnegie Mellon University (CMU) alumni of the Language Technologies Institute (LTI). She works as a Sr. AI/ML Applied Associate at JPMorgan Chase in their specialized Machine Learning Center of Excellence (MLCOE) vertical. …
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A New Performance Zone for Software for National Security
1:02:23
1:02:23
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1:02:23Today, we have seen our national security organizations working to adopt modern software practices, particularly Agile methods and DevSecOps practices, efforts challenged by a mismatch of tempos between operational needs and development processes. The newly mandated Software Acquisition Pathway helps to align those tempos. However, to sustain a com…
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At inference, large language models use in-context learning with zero-, one-, or few-shot examples to perform new tasks without weight updates, and can be grounded with Retrieval Augmented Generation (RAG) by embedding documents into vector databases for real-time factual lookup using cosine similarity. LLM agents autonomously plan, act, and use ex…
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Explains language models (LLMs) advancements. Scaling laws - the relationships among model size, data size, and compute - and how emergent abilities such as in-context learning, multi-step reasoning, and instruction following arise once certain scaling thresholds are crossed. The evolution of the transformer architecture with Mixture of Experts (Mo…
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How OpenAI Builds AI Agents That Think and Act with Josh Tobin - #730
1:07:27
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1:07:27Today, we're joined by Josh Tobin, member of technical staff at OpenAI, to discuss the company’s approach to building AI agents. We cover OpenAI's three agentic offerings—Deep Research for comprehensive web research, Operator for website navigation, and Codex CLI for local code execution. We explore OpenAI’s shift from simple LLM workflows to reaso…
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Making AI Reliable is the Greatest Challenge of the 2020s // Alon Bochman // #312
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1:01:37Making AI Reliable is the Greatest Challenge of the 2020s // MLOps Podcast #312 with Alon Bochman, CEO of RagMetrics. Join the Community: https://go.mlops.community/YTJoinIn Get the newsletter: https://go.mlops.community/YTNewsletter Huge shout-out to @RagMetrics for sponsoring this episode! // Abstract Demetrios talks with Alon Bochman, CEO of Rag…
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Claude Code Review: Pattern Matching, Not Intelligence
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10:31Episode Notes: Claude Code Review: Pattern Matching, Not Intelligence Summary I share my hands-on experience with Anthropic's Claude Code tool, praising its utility while challenging the misleading "AI" framing. I argue these are powerful pattern matching tools, not intelligent systems, and explain how experienced developers can leverage them effec…
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Deno: The Modern TypeScript Runtime Alternative to Python
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7:26Deno: The Modern TypeScript Runtime Alternative to Python Episode Summary Deno stands tall. TypeScript runs fast in this Rust-based runtime. It builds standalone executables and offers type safety without the headaches of Python's packaging and performance problems. Keywords Deno, TypeScript, JavaScript, Python alternative, V8 engine, scripting lan…
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Reframing GenAI as Not AI - Generative Search, Auto-Complete and Pattern Matching
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16:43Episode Notes: The Wizard of AI: Unmasking the Smoke and Mirrors Summary I expose the reality behind today's "AI" hype. What we call AI is actually generative search and pattern matching - useful but not intelligent. Like the Wizard of Oz, tech companies use smoke and mirrors to market what are essentially statistical models as sentient beings. Key…
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Academic Style Lecture on Concepts Surrounding RAG in Generative AI
45:17
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45:17Episode Notes: Search, Not Superintelligence: RAG's Role in Grounding Generative AI Summary I demystify RAG technology and challenge the AI hype cycle. I argue current AI is merely advanced search, not true intelligence, and explain how RAG grounds models in verified data to reduce hallucinations while highlighting its practical implementation chal…
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Behavior Modeling, Secondary AI Effects, Bias Reduction & Synthetic Data // Devansh Devansh // #311
1:01:35
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1:01:35Behavior Modeling, Secondary AI Effects, Bias Reduction & Synthetic Data // MLOps Podcast #311 with Devansh Devansh, Head of AI at Stealth AI Startup. Join the Community: https://go.mlops.community/YTJoinIn Get the newsletter: https://go.mlops.community/YTNewsletter // AbstractOpen-source AI researcher Devansh Devansh joins Demetrios to discuss gro…
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CTIBench: Evaluating LLMs in Cyber Threat Intelligence with Nidhi Rastogi - #729
56:18
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56:18Today, we're joined by Nidhi Rastogi, assistant professor at Rochester Institute of Technology to discuss Cyber Threat Intelligence (CTI), focusing on her recent project CTIBench—a benchmark for evaluating LLMs on real-world CTI tasks. Nidhi explains the evolution of AI in cybersecurity, from rule-based systems to LLMs that accelerate analysis by p…
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GraphBI: Expanding Analytics to All Data Through the Combination of GenAI, Graph, & Visual Analytics // Paco Nathan & Weidong Yang // #310
1:14:01
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1:14:01GraphBI: Expanding Analytics to All Data Through the Combination of GenAI, Graph, & Visual Analytics // MLOps Podcast #310 with Paco Nathan, Principal DevRel Engineer at Senzing & Weidong Yang, CEO of Kineviz. Join the Community: https://go.mlops.community/YTJoinIn Get the newsletter: https://go.mlops.community/YTNewsletter // AbstractExisting BI a…
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AI Data Engineers - Data Engineering After AI // Vikram Chennai // #309
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49:40AI Data Engineers - Data Engineering after AI // MLOps Podcast #309 with Vikram Chennai, Founder/CEO of Ardent AI. Join the Community: https://go.mlops.community/YTJoinIn Get the newsletter: https://go.mlops.community/YTNewsletter // AbstractA discussion of Agentic approaches to Data Engineering. Exploring the benefits and pitfalls of AI solutions …
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An organization’s cyber risk management practices must be rooted in organizational goals to be truly effective. In this webcast, Matt Butkovic, Greg Crabbe and Beth-Anne Bygum explore how best to align business and resilience objectives.By Matt Butkovic, Greg Crabbe and Beth-Anne Bygum
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Generative Benchmarking with Kelly Hong - #728
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54:17In this episode, Kelly Hong, a researcher at Chroma, joins us to discuss "Generative Benchmarking," a novel approach to evaluating retrieval systems, like RAG applications, using synthetic data. Kelly explains how traditional benchmarks like MTEB fail to represent real-world query patterns and how embedding models that perform well on public benchm…
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I Am Once Again Asking "What is MLOps?" // Oleksandr Stasyk // #308
1:07:22
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1:07:22I am once again asking "What is MLOps?" // MLOps Podcast #308 with Oleksandr Stasyk, Engineering Manager, ML Platform of Synthesia. Join the Community: https://go.mlops.community/YTJoinIn Get the newsletter: https://go.mlops.community/YTNewsletter // AbstractWhat does it mean to MLOps now? Everyone is trying to make a killing from AI, everyone want…
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