Intermediate Lessons

The Open Source AI Coding Revolution

The Future of Healthcare: AI is Here

PyTorch for Control Systems and Decision Making // Vincent Moens // MLOps Podcast #276

AI Agents: The Future of Productivity, or Just a Fad?

How AI Will Change Gaming Forever

Towards Better Tech Solutions (Good Engineers Are Lazy)

The Future of CI/CD: Deploying GenAI Apps

How to Optimize Large AI Models with PyTorch

LLMs to agents: The Beauty & Perils of Investing in GenAI // VC Panel // Agents in Production

Why We Need More Data Science Podcasts

We Can All Be AI Engineers and We Can Do It with Open Source Models // Luke Marsden // Podcast #273

AI Agents in Production [Behind The Scenes]

How Memory Management Can Make Or Break Your ML Model

LLMs as a Judge?

Context Windows Are About to Level Up 🔮

Bridging the Gap Software Meets Data Science

How to Scale Your MLOps: A Comparison of Strategies

Unlocking Empathy Communication Tips from the Pros

Do You Really Need a Feature Store

Systematically Test and Evaluate Your LLMs Apps // Gideon Mendels // MLOps Podcast #269

MLOps Across Borders // Gottam Sai Bhrath & Cole Bailey // MLOps Podcast #263 clip

How Agentic Workflows Will Change Everything // Raj Rikhy // MLOps Podcast #268

September reading group reel

Tonic Validate

September Reading group clip 1

How to Use Differential Privacy in Your AI Prompts

How to Make Your Data Science Reproducible (and Why You Should Care)

The Future of Software Architecture for GenAI: Real-Time Data Streaming

How Data Capture Transforms ML Observability

Real-Time Event Processing for AI/ML with Numaflow // Sri Harsha Yayi // DE4AI

Engineering Your AI Platform // Panel // DE4AI

The Only Constant is (Data) Change // Panel // DE4AI

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

How To Cut Your Data Infrastructure Costs in Half

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

Building a Data Infrastructure for AI/ML

How Feature Stores Work // Simba Khadder // DE4AI

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

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

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

Why We Need to Rethink Frameworks

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

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