📰 AI News & Updates

Similarities of Google Search and Self Driving

Linear's Approach to Production AI Agents

A rack of NVIDIA chips #podcast #aiinfrastructure #nividia

Sub-Agent Architectures: What You Can Leverage

The Next Evolution of AI Agents

#nvidia monopoly #podcast #aiinfrastructure

Trying to break the product before release to public

How to build agents that take ACTION

Building Data Centers for GPU Clouds

The best model might not be from OpenAI

AI Changed Stack Overflow for the Better

The Rise of Sovereign AI and Global AI Innovation in a World of US Protectionism

Everything Hard About Building AI Agents Today

Hard Learned Lessons from Over a Decade in AI

Building Out GPU Clouds

Making AI Reliable is the Greatest Challenge of the 2020s // Alon Bochman // MLOps Podcast #312

AI Breakthrough: Models Are Now 'Ridiculously Good'

The Ubiquity of Online Payments in Today's Digital World

CEO of Stack Overflow shares Knowledge as a Service

How AI Will Change Gaming Forever

LLMs as a Judge?

How to Scale Your MLOps: A Comparison of Strategies

Putting the AI back in Medallion Lake Design // Simon Whiteley

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

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

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

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

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

OpenAI's GPT Empowering Language Models with Code Execution // Gregory Kamradt // Podcast #191 clip

Building Defensible AI Apps // Gregory Kamradt @DataIndependent // MLOps Podcast #191

Product Strategy for LLM features when LLM isn’t your Product // Harini Kannan // LLMs III LT

Feature Infrastructure // Mike Del Balso & Josh Wills // MLOps Podcast # 186 clip

Amplifying Impact with Generative AI: Insights from 10,000 Colleagues // Paul van der Boor // Talk 4

Using Product Analytics to Build Better LLM Applications // Henry Scott-Green // Lightning Talk 6

[Exclusive] Tecton Round-table // Get your ML Application Into Production

Real User Data's Power in Product Iteration // Phillip Carter // MLOps Podcast #170 clip

All the Hard Stuff with LLMs in Product Development // Phillip Carter // MLOps Podcast #170

RLHF Data Collection in Practice // Andrew Mauboussin // LLMs in Prod Conference Part 2

MLOps Build or Buy, Startup vs. Enterprise? // Aaron Maurer & Katrina Ni // MLOps Podcast # 157

The Future of Scalability in Machine Learning: Predictions and Challenges

Formula for Successful Jupyter Notebook Deployment // Keith Trnka // MLOps Podcast #148 short clip