Advanced Lessons

Mind Blowing Fact More Docs Boosts Performance!

Avoiding the Premature Optimization Trap

Mastering CodeScans: The Secret to Bulletproof Tech

How AI Agents Are Transforming Data Analytics

The Future of AI: Long-Context RAG

Cleric AI SRE: Towards Self-healing Autonomous Software // Willem Pienaar // Agents in Production

RAG: The Future of AI Search (and Prompt Engineering) // Reading Group

The Coming Revolution of AI Agents

Small Models, Big Ideas: The Next Frontier in AI

Composable Memory for GPU Optimization // Bernie Wu // Pod #270

Partnering with Product for Effective, quality Data Ingestion & Training Data // Daniela Santisteban

AI-Powered Data Unification for Data Platforms // Shelby Heinecke // DE4AI

Boosting LLMs: Performance, Scaling, and Structured Outputs // MLOps Mini Summit #8

The Shift in Data Dynamics // Shiva Bhattacharjee // MLOps Podcast #260 clip

Reinvent Yourself and Be Curious // Stefano Bosisio // MLOps Podcast #264

Transforming API Output Quality with Assertions // Vikram Rangnekar // MLOps Podcast #259 clip

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Evaluating Spotify's Multimillion Item Database // Sanket Gupta // MLOps podcast #232 clip

Uber's Michelangelo: Strategic AI Overhaul and Impact // MLOps podcast #239

Rethinking Retraining: Cost-Effective AI Solutions // Patrick Beukema // MLOps podcast #225 clip

Advances in AI Model Evaluation // Salman Avestimehr // MLOps podcast #230 clip 2

Practical Approaches to AI Adoption // Verena Weber // MLOps podcast #224 clip

RecSys at Spotify // Sanket Gupta // MLOps Podcast #232

Explaining ChatGPT to Anyone in 10 Minutes // Cameron Wolfe // AI in Production Conference

Reliable Hallucination Detection in Large Language Models // Jiaxin Zhang // AI in Production Talk

DSPy Assertions: Computational Constraints for Self-Refining LM Pipelines // Arnav Singhvi // Talk

Beyond AGI, Can AI Help Save the Planet? // Patrick Beukema // MLOps Podcast #225

Addressing Data Quality Issues // Bandish Shah and Davis Blalock // MLOps Podcast clip #219

GenAI in Production - Challenges and Trends // Verena Weber // MLOps Podcast #224

From Robotics to AI NPCs // Nyla Worker // AI in Production Talk

Introducing DBRX: The Future of Language Models // [Exclusive] Databricks Roundtable

Vision Pipelines in Production: Serving & Optimisations // Biswaroop Bhattacharjee // AI in Prod

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