Browse Lessons

Supercharging Your RAG System: Techniques and Challenges // Tengyu Ma // DE4AI

How To Cut Your Data Infrastructure Costs in Half

Why DuckDB is the Future of Data

Turn Data Chaos into AI Strategy with Programmatic AI Data Development // Elena Boiarskaia // DE4AI

LLMs in Financial Services: Personalized Portfolio Recommendation Engines // Akmal Chaudhri // DE4AI

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

DuckDB is fast for analytics, but what can it do for AI? // Mehdi Ouazza // DE4AI

GenAI in production with MLflow // Ben Wilson // DE4AI

Unified Data + AI Governance with Unity Catalog // Michelle Leon & Victoria Bukta // DE4AI

Building a Data Infrastructure for AI/ML

11 lessons learned from doing deployments // Sol Rashidi // DE4AI

How Feature Stores Work // Simba Khadder // DE4AI

Building Hyper-Personalized LLM Applications with Rich Contextual Data // Mike Del Balso // DE4AI

The Daft distributed Python data engine: multimodal data curation at any scale // Jay Chia // DE4AI

Centralized or Decentralized ML Platform? // Jelmer Borst and Daniela Solis // MLOps Podcast #267

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

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

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

Unpacking 3 Types of Feature Stores // Simba Khadder // MLOps Podcast #265

Integrating Knowledge Graphs & Vector RAG for Efficient Information Extraction / Reading Grp Sept 12

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

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

Data Quality and Tonic Textual // Adam Kamor // MLOps Podcast #262 clip

Global Feature Store // Gottam Sai Bharath & Cole Bailey // MLOps Podcast #263

RAG Quality Starts with Data Quality // Adam Kamor // MLOps Podcast #262

Critical Importance of Vulnerability Scanning in Software Development // Harcharan Kabbay // shorts

The Future of Multimodal Models in Technology // Markus Stoll // MLOps Podcast #258 clip

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