Intermediate Lessons

Want High Performing LLMs? Hint: It is All About Your Data // Vikram Chatterji // LLMs in Prod Con

Solving the Last Mile Problem of Foundation Models with Data-Centric AI //Alex Ratner // LLM in Prod

ML Scalability Challenges // Waleed Kadous // MLOps Podcast # 154

Formula for Successful Jupyter Notebook Deployment // Keith Trnka // MLOps Podcast #148 short clip

Tecton 0.6: Notebook-driven Development // Jason Dunne // MLOps Meetup #122

The Future of Data Science Teams: A World Without Data Teams?

Balancing Technical Debt and Future Thinking in Product Development

The Challenge of Dynamic AI Models in the Real World

Enabling Rapid Updates of Models: Parallels with Software and Security

Addressing Latency Challenges in Large Language Models

ML in Production: A DS from Ubisoft Perspective // Jean-Michel Daignan // MLOps Podcast #151

Large Language Models in Production Round-table Conversation

The Trustworthy Chatbot Search Engine // Saahil Jain // MLOps Podcast #151 clip

Optimizing ML Capabilities for Business Success // Jason McCampbell // MLOps Podcast #149 clip

The Value of Communication in the Age of Machine Learning

Differences in Challenges Faced by Staff Engineers in Startups and Large Organizations

Rewarding Behavior with Machine Learning // Niall Murphy // MLOps Podcast #127 reels

Building a Centralized Background for Seamless User Experience

AWS Dev and Pro Management // Sahil Khanna // MLOps Podcast #145 clip

Predictions for Future Changes in the Python Programming Language

Balancing Opinions and Data in Tool-Focused Companies #shorts

Managing Data on DAG Store // Stephen Bailey // MLOps Podcast #141 video clip

Navigating the Management Side of Machine Learning Research #shorts

Explainability in the MLOps Cycle // Dattaraj Rao // MLOps Podcast #138

Creative AI - Using ML to Create Art, Music, and Jokes // Suyash Joshi // MLOps Meetup #113

MLflow Pipelines: Opinionated ML Pipelines in MLflow // Xiangrui Meng // Coffee Sessions #112

Making MLFlow // Lead MLFlow Maintainer Corey Zumar // MLOps Coffee Sessions #103

Building a Movie Recommendation System on Tecton with Snowflake // David Hershey //MLOps Meetup #102

MLOps at Stripe // Emmanuel Ameisen // MLOps Coffee Sessions #85

Building an Open Source MLOps Stack with ZenML // Hamza Tahir // MLOps Workshop Meetup # 92

Build a Culture of ML Testing and Model Quality // Mohamed Elgendy // MLOps Coffee Sessions #76

Just Build It! Tips for Making ML Engineering and MLOps Real // Andy McMahon // MLOps Meetup #91

Building for Small Data Science Teams // James Lamb // MLOps Coffee Sessions #69

What is Kubeflow? // Aniruddha Choudhury // Meetup #72 short clip

Continuous Delivery for Machine Learning article by Martin Fowler // Coffee Session short clip #53

Data Quality Test // David Aponte // Coffee Session short clip #53

Durable Data Discovery: Making Exploratory Analysis Stick // James Campbell // MLOps Meetup #86

PyTorch: Bridging AI Research and Production // Dmytro Dzhulgakov // MLOps Coffee Sessions #63

Doing MLOps // Noah Gift // MLOps Meetup #80

System Design for Recommendations and Search // Eugene Yan // MLOps Meetup #78

Make deep learning more accessible // Jeremy Howard // Coffee Sessions #47 short clip

Maintainability in Diversity // Pablo Estevez // Coffee Session #46 short clip

Three Blocks of MLOps Modular Level // Emmanuel Raj // Meetup #69 short clip

Sri's Favorite Model Release Strategy // Srivatsan Srinivasan //MLOps Coffee Sessions #40 short clip

Educating Clients on Uncertainty // Adam Sroka // MLOps Coffee Sessions #38 short clip

Nick's Nightmarish Story // Nick Masca // Coffee Session #35 short clip

Scaling AI in Production // Srivatsan Srinivasan // MLOps Coffee Sessions #40

Model & Data Drift Deep Dive // Ben Wilson // MLOps Meetup Clips