Articles about AI System Design in Technology & AI
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.
Ever wonder how AI agents actually 'think'? We put four popular reasoning strategies—from the simple to the complex—to the test to see which is fastest, smartest, and most efficient. The results might surprise you.
We all want faster AI, but not at the cost of quality. NVIDIA's new TiDAR architecture is a clever hybrid approach that drafts text like a diffusion model and verifies it like an autoregressive one, all at once, leading to a massive speed boost.
Ever feel like your voice assistant is just a glorified search engine? Let's go deeper. This guide shows you how to build an agentic voice AI that doesn't just hear you—it understands, reasons, and creates multi-step plans to get things done.
AI agents are getting smarter, but they're also incredibly expensive to run. Anthropic has a brilliant new fix that stops AI from "thinking out loud" and starts letting it write code, slashing token usage by over 98%.
A small AI startup called Manifest AI retrained a 14-billion parameter model for just $4,000 by replacing the transformer's core "attention" mechanism. Here's how their "Power Retention" technique could change everything.
Drowning in unlabeled data? Don't spend a fortune on manual annotation. Discover active learning, a clever technique where your model tells you exactly which data points it needs labeled to learn faster.
Ever feel like you're talking to a chatbot with amnesia? Let's fix that. We'll walk through how to give an AI a persistent memory, a way to learn about you, and even a way to forget—just like a real person.