🛠️ AI Tools & Apps

Rethinking Notebooks Powered by AI

coming back to the same AI tool 6 mo later #podcast #aiinfrastructure #ai

Real-time Feature Generation at Lyft // Rakesh Kumar // MLOps Podcast #334

From the Legal Trenches to Tech // Nick Coleman // MLOps Podcast #332

Make Transformations Less Painful and More Powerful

The Missing Data Stack for Physical AI

25,000 Lines of Code A Developer's Nightmare 📏💻

The Hidden Struggles of Cloud Integration in Big Orgs

AI: Different Abilities, Not Less Intelligent

Simplify to Amplify

AI Apps Are Complex Systems

Start Small and Deliver Quickly

How Did Workflow Systems Become Essential

How Did Workflow Systems Become Essential

Leveraging AI Friend or Foe

Holistic Evaluation of Generative AI Systems // Jineet Doshi // MLOps Podcast #280

AI's Next Frontier // Aditya Naganath // MLOps Podcast #277

We Can All Be AI Engineers and We Can Do It with Open Source Models // Luke Marsden // Podcast #273

The Next Revolution in AI: LLMs and Beyond

From Notebook to Kubernetes: Scaling GenAI Pipelines with ZenML // Alex Strick van Linschoten

Making Your Company LLM-native // Francisco Ingham // MLOps Podcast #266

AI Testing Highlights // Special MLOps Podcast Episode

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

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

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

AWS Trainium and Inferentia // Kamran Khan and Matthew McClean // MLOps Podcast #238

FedML Nexus AI: Your Generative AI Platform at Scale // Salman Avestimehr // MLOps Podcast #230

Building a Python-Centric Feature Platform to Power Production AI Applications // Matt Bleifer

A Decade of AI Safety and Trust // Petar Tsankov // MLOps Podcast #218

Challenges Operationalizing ML (And Some Solutions) // Nathan Ryan Frank // MLOps Podcast #199

Open Source and Fast Decision Making // Rob Hirschfeld // MLOps Podcast #164

The Future of Closed API Models in the Age of Open Source

Automating Task-specific Model Application with Snorkel Flow

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

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

Applying Machine Learning to DNA Storage and Decoding // Luis Ceze // MLOps Podcast Shorts

Bringing DevOps Agility to ML // Luis Ceze // Coffee Sessions #121

Why and When to Use Kubeflow for MLOps // Ryan Russon // Coffee Sessions #107

Orchestrating Machine Learning Workflows with Prefect // Kevin Kho // MLOps Meetup #94

MLOps Engineering Labs Recap // Part 2 // MLOps Coffee Sessions #31

Machine Learning Design Patterns for MLOps // Valliappa Lakshmanan // MLOps Meetup #49

Metaflow: Supercharging Our Data Scientist Productivity // Ravi Kiran Chirravuri // MLOps Meetup #41