AI System Design

Ever seen a demo of an AI agent that can do anything, only for it to fall apart when you try it? A new paper from Stanford and Harvard finally explains why this happens and lays out a clear path to building AI that actually works.

Stop waiting for customers to cancel. Let's walk through how to build a proactive AI agent that spots at-risk users, devises a win-back strategy, and drafts personalized emails for you.

Ever notice your LLM slowing down as it generates longer text? The culprit is a massive inefficiency in how models handle memory. Let's break down KV caching, the simple but brilliant trick that solves this problem and makes AI generation drastically faster.

NVIDIA just dropped its new Nemotron 3 family, and it's a fascinating look at the future of AI. Instead of just getting bigger, these models are getting smarter about how they use their power, blending Mamba, Transformers, and MoE for incredible efficiency.

Google just dropped T5Gemma 2, a new family of open AI models that are smart, efficient, and can see. Let's break down what makes them tick, from their massive 128K context window to how they were built.

You brought in a powerful AI coding agent expecting a productivity miracle, but your team is actually slower. Here’s the real reason why it’s failing and how to fix it—and it has nothing to do with the AI model itself.

Everyone's talking about LLMs like ChatGPT, but there's a whole family of other AI models quietly changing the world. Let's break down the 5 essential AI architectures you need to know.

Ever wanted an AI creative partner that doesn't need an internet connection or expensive API keys? Let's walk through building a completely local storytelling pipeline using Griptape and a lightweight Hugging Face model.

Ever wonder how an AI model with 47 billion parameters can run faster than one with 13 billion? It's not magic—it's an architecture called Mixture of Experts (MoE). Let's break down how MoE is changing the game.

We're deploying powerful LLMs without knowing how they truly operate. Learn why AI observability is the crucial SRE layer that turns these black boxes into reliable, trustworthy systems you can actually manage.

Tired of giant, expensive AI models handling every little task? NVIDIA just released Orchestrator-8B, a tiny but brilliant AI "conductor" that intelligently assigns jobs to the best tool, slashing costs and speeding up results. Here's how it works.

Ever feel overwhelmed by research papers? Let's walk through how to build a simple but powerful AI agent that can read literature, form hypotheses, and even write scientific reports for you.