Articles about AI System Design in Technology & AI
Choosing a vector database is no longer optional—it's a critical decision for any AI project. This guide breaks down the top 9 options in 2026, comparing pricing, performance, and the real-world use cases for each.
Are your LLM API bills getting out of hand? Learn how to use NadirClaw, a smart routing layer, to automatically send simple prompts to cheap models and complex ones to powerful models. This hands-on guide will walk you through cutting costs without sacrificing performance.
Stop treating your LLM like a black box. Let's walk through how to build a modular, skill-based agent system in Python—think of it as an operating system for your AI.
Building an AI agent? Giving it live access to the web is non-negotiable. Here's a friendly, no-nonsense breakdown of the best tools to get the job done in 2026.
We're moving past simple AI chatbots. Discover the world of Agentic and Generative UI, where AI doesn't just talk—it builds the exact interface you need, in real time.
Ever wonder how robots see the world and decide what to do next? Let's pull back the curtain and build a simple AI agent from scratch that learns to navigate its world just by looking at pixels. No complex libraries, just pure concepts.
LoRA is a go-to for efficient fine-tuning, but it has a hidden flaw. We break down why it struggles to learn new facts and how a simple fix, RS-LoRA, can solve the problem.
Traditional RAG systems rely on vector similarity, but often fail on complex documents. Discover PageIndex, a new approach that uses an LLM to reason over a document's structure, leading to more accurate, human-like retrieval.
We've all been there: you ask an AI to change one function, and it unknowingly breaks 47 other things. GitNexus is an open-source tool that fixes this by giving AI agents a complete map of your code, so they finally understand the consequences of their edits.
Training massive AI models is incredibly fragile—one chip failure can halt everything. Google DeepMind's new Decoupled DiLoCo system fixes this by creating 'self-healing' islands of compute that could change how we build AI.
Feeling overwhelmed by endless AI tools? You're not alone. Learn how to stop chasing shiny new apps and build a lean, effective AI productivity system that actually saves you time and reduces friction.
Anthropic never revealed the inner workings of Claude Mythos, but a new open-source project called OpenMythos has a fascinating theory. It's a full PyTorch reconstruction suggesting a radical idea: what if true reasoning power comes from iteration, not just size?