📰 AI News & Updates

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

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

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

Exploring Markovian Models // Yuri Plotkin // MLOps Podcast #253 clip

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

Balancing Speed and Safety // Panel // AIQCON

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

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

AB Testing for Optimal ROI // Miguel Fierro // MLOps Podcast #240 clip

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

The Challenge of Establishing AI Quality Standards // Cody Peterson // MLOps podcast #234

Data Guardrails and Alert Systems // Chad Sanderson // MLOps podcast #226 clip

Beyond Guess-and-Check: Towards AI-assisted Prompt Engineering // Alex Cabrera // AI in Production

No GPU Before PMF // Stanislas Polu // AI in Production Conference Lightning Talk

Ghostwriter - AI Writing That Learns From You // Jonny Dimond // AI in Production Conference

Open Standards Make MLOps Easier and Silos Harder // Cody Peterson // MLOps podcast #234

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

The Rise of Modern Data Management // Chad Sanderson // MLOps Podcast #226

Lessons from Building LLM-based Social Media Products // Faizaan Charania // AI in Production

Enabling Efficient Trillion Parameter Scale Training for Deep Learning Models // Tunji Ruwase

Seeing Like a Language Model // Linus Lee // AI in Production Conference Full Talk

Productionizing Health Insurance Appeal Generation // Holden Karau // AI in Production Talk

From MVP to Production // Day 2 Panel 2 // AI in Production Conference

Tecton's Approach to Scaling Data Aggregations // Mike Eastham // MLOps podcast #209 clip