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#mlops #machinelearning #Union #Flyte

Data Quality = Quality AI // Panel // AIQCON

Solving LLM Data Problems // Yujian Tang // LLMs in Prod Conference Part 2

Evaluating LLM-based Applications // Josh Tobin // LLMs in Prod Conference Part 2

Essential Documentation Elements for Startups // Dave Nunez // MLOps Podcast

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

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

ML Drift - How to Identify Issues Before They Become Problems // Amy Hodler // MLOps Meetup #89

Understanding User Needs in Machine Learning and AI Development

Boosting LLM/RAG Workflows & Scheduling w/ Composable Memory and Checkpointing // Bernie Wu //

Build Reliable Systems with Chaos Engineering // Benjamin Wilms // MLOps Podcast

Making LLM Inference Affordable // Daniel Campos // LLMs in Production Conference Part 2

Envisioning a New Era of AI Accessibility // Ryan Carson // MLOps Podcast

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

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

The Challenge with AI Voice Agents

Building Recommender Systems with Large Language Models // Sumit Kumar // LLMs in Production

Facebook Marketplace Machine Learning System Design Review

Ep#9 - Private data Data Science friendly

Provenance and Reproducibility in Machine Learning; what is it and why you need it?

Are Memory Issues the New Tech Bottleneck

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

Feature Stores at Shopify and Skyscanner // Matt Delacour and Mike Moran // Reading Group #4

Anatomy of a Software 3.0 Company // Sarah Guo // AI in Production Keynote

AI in Healthcare // Eric Landry // MLOps Podcast

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

AB Testing for Optimal ROI // Miguel Fierro // MLOps Podcast

Ensuring Robust AI Architectures // Harcharan Kabbay // MLOps Podcast

Accelerating Multimodal AI // Ethan Rosenthal // MLOps Podcast

#mlops

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

[Exclusive] Weights & Biases Round-table // Model Management in a Regulated Environment

RagSys: RAG is just RecSys in Disguise // Chang She // AI in Production Lightning Talk

Building Conversational AI Agents with Voice // Michelle Chan // AI in Production Conference

Model Merging and Mixtures of Experts // Maxime Labonne // AI in Production Conference

Graph Neural Networks Just Solved Enterprise AI?

Machine Learning Operations — What is it and Why Do We Need It? // Niklas Kühl // MLOps Podcast

DevOps Vs MLOps

Avoiding AI POC Purgatory // Sol Rashidi // MLOps podcast

Handling Massive Machine Learning Models // Simon Karasik // MLOps podcast

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

The Secrets of Jailbreaking LLMs // Ron Heichman // MLOps Podcast

How to Build Production-Ready AI Models for Manufacturing // [Exclusive] LatticeFlow Roundtable

Agentic Workflow // Chinar Movsisyan // MLOps Podcast

Exploring Markovian Models // Yuri Plotkin // MLOps Podcast

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

Real-time Model Inference in a Video Streaming Environment // Brannon Dorsey // Coffee Sessions #98

Charting LLMOps Odyssey // Yinxi Zhang @ Databricks // AI in Production Talk

AI Innovations: The Power of Feature Platforms // MLOps Mini Summit #6

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

How to Avoid Suffering in MLOps/Data Engineering Role // Igor Lushchyk // MLOps Meetup #55