Browse Lessons

Who's MLOps for Anyway? // Jonathan Rioux // MLOps Podcast #261

Alignment is Real // Shiva Bhattacharjee // MLOps Podcast #260

Ax a New Way to Build Complex Workflows with LLMs // Vikram Rangnekar // MLOps Podcast #259

Visualize - Bringing Structure to Unstructured Data // Markus Stoll // MLOps Podcast #258

AI Testing Highlights // Special MLOps Podcast Episode

MLSecOps is Fundamental to Robust AISPM // Sean Morgan // MLOps Podcast #257

Continuous Model Training // Nicolas Mauti // MLOps Podcast #255 clip

Ensuring Robust AI Architectures // Harcharan Kabbay // MLOps Podcast #256 clip

MLOps for GenAI Applications // Harcharan Kabbay // MLOps Podcast #256

Exploring Long Context Language Models // MLOps Reading Group August 2024

BigQuery Feature Store // Nicolas Mauti // MLOps Podcast #255

ROI and Tool Transition in MLOps // Andy McMahon // MLOps Podcast #254 clip

Exploring Markovian Models // Yuri Plotkin // MLOps Podcast #253 clip

Design and Development Principles for LLMOps // Andy McMahon // MLOps Podcast #254

Data Quality = Quality AI // Panel // AIQCON

The Secrets of Jailbreaking LLMs // Ron Heichman // MLOps Podcast #252 clip

Challenges Make MLOps Worthwhile // Nikhil Suresh // MLOps Podcast clip #250

The Variational Book // Yuri Plotkin // MLOps Podcast #253

Vision and Strategies for Attracting & Driving AI Talents in High Growth // Panel // AIQCON

Building Creative and Productive Teams // Eric Landry // MLOps Podcast #249 clip

From Auction Papers to Stealth Assessment // Aniket Singh // MLOps Podcast #248 clip

Harnessing AI APIs for Safer, Accurate, & Reliable Applications // Ron Heichman //MLOps Podcast #252

Balancing Speed and Safety // Panel // AIQCON

Agentic Workflow // Chinar Movsisyan // MLOps Podcast #251 clip

Reliable LLM Products, Fueled by Feedback // Chinar Movsisyan // MLOps Podcast #251

A Blueprint for Scalable & Reliable Enterprise AI/ML Systems // Panel // AIQCON

Mastering Software Engineering for Data Scientists // Catherine Nelson // MLOps podcast #245 clip

AI Training and Validation // Shaun Wei // MLOps Podcast #244 clip

AI Operations Without Fundamental Engineering Discipline // Nikhil Suresh // MLOps Podcast #250

AI in Healthcare // Eric Landry // MLOps Podcast #249

Why Startups Must Prioritize Data Privacy in the Age of AI // David Weik // Podcast #247 shorts

Generative AI Governance Emerging // Sophia Rowland // MLOps Podcast #247 clip

Evaluating the Effectiveness of Large Language Models // Aniket Singh // MLOps Podcast #248

Extending AI: From Industry to Innovation // Sophia Rowland & David Weik // MLOps Podcast #247

Benefits of Multimodal Feature Stores // Ethan Rosenthal // MLOps podcast #242 clip

Tips to Prevent Prompt Injection & Toxicity // Boris Selitser // MLOps Podcast #241 clip

AI For Good - Detecting Harmful Content at Scale // Matar Haller // MLOps Podcast #246

Quality Metrics and Tools in Michelangelo 2.0 // MLOps Podcast #239 clip 2

All Data Scientists Should Learn Software Engineering Principles // Catherine Nelson // Podcast #245

AB Testing for Optimal ROI // Miguel Fierro // MLOps Podcast #240 clip

Unifying Systems with Uber’s Michelangelo Platform // MLOps Podcast #239 clip

AI Agents for Consumers // Shaun Wei // MLOps Podcast #244

Understanding Trainium and Inferentia // Kamran Khan and Matthew McClean // MLOps podcast #238 clip

Trusting Chaos Tools in Complex Systems // Benjamin Wilms // MLOps podcast #237 clip

ML and AI as Distinct Control Systems in Heavy Industrial Settings // Richard Howes // Podcast #243

Accelerating Multimodal AI // Ethan Rosenthal // MLOps Podcast #242

The Role of Knowledge Graphs in Enhancing AI Determinism // Tom Smoker // MLOps podcast #236 clip

Fresh Data, Smart Retrieval: Milvus & Jina CLIP Explained // MLOps Mini Summit #7