Browse Lessons

Office Hours on DuckDB - AWSGlue - Iceberg

Hard Learned Lessons from Over a Decade in AI

ML/AI Maturity Expectations

Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory // May 2025 Reading Group

'It's Not the Land of 10,000 Things!'

Bye Bye Boring Models Hello Custom-Fit Brilliance

Optimizing RAG: A Guide to Configuring Chunks and Metrics

The Evolution of AI: From Text Prompts to Autonomous Agents

Building a GPU Cloud That Doesn’t Flinch Under Pressure

How Product Metrics Become LLM Evaluations

The Great GPU Drought: What We Learned

RAG from Scratch with Best Practices

Getting AI Apps Past the Demo // Vaibhav Gupta // MLOps Podcast #319

MCP vs A2A: Which Protocol Wins?

The Startup Glow Up You Didn’t See Coming Kison Patel reel

When AI Valuations Leave Logic Behind

Tricks to Fine Tuning // Prithviraj Ammanabrolu // MLOps Podcast #318

Building Out GPU Clouds

When ML Tools Hurt More Than Help

The Hidden Struggles of Cloud Integration in Big Orgs

#MCP servers really?

Finding Hidden Gold in AI’s Blind Spots

MCP is not going to change everything (yet)

AI in M&A: Building, Buying, and the Future of Dealmaking // Kison Patel // MLOps Podcast #315

Small Meetups, Big Ripples—Here’s How It Happens

Revealing the Hidden Magic Behind Fine-Tuning

AI: Different Abilities, Not Less Intelligent

The Intriguing Lens of Language Models

MLOps with Databricks // Maria Vechtomova // MLOps Podcast #314

How AI is Revolutionizing Marketing Forever

Building an AI agent with langGraph (step by step tutorial)

AI Agents for Financial Institutions // Vamsi Saladi // Agent Hour

Evaluation of Agentic System // Aditya Gautam // Agent Hour

When Tech Evolves but People Don’t

The Future of Data Engineering Lies in AI

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

Iceberg, MCP, and MLOps: Bridging the gaps for Enterprise // Mini Summit #11 // Snowflake

Behavior Modeling, Secondary AI Effects, Bias Reduction & Synthetic Data // Devansh Devansh // #311

Why 'Vibe Coding' Can Lead to Trouble

How MLOps Helps Drive Ideas from Concept to Cash

A-MEM: Agentic Memory for LLM Agents // April Reading Group

Tracking elephants with AI!

The Annotator’s Dilemma — Experts Know the Truth

GraphBI: Expanding Analytics to All Data Through the Combination of GenAI, Graph, & Visual Analytics

AI Data Engineers - Data Engineering After AI // Vikram Chennai // MLOps Podcast #309

Blink and You'll Miss It: Tech's Next Big Leap

The Power of Bayesian Models in Predictive Analysis

Balancing the Supply and Demand in Marketplaces