LLMs Explained Like System Design.
Start with foundational concepts— neural networks, tokens, embeddings, vectors, layers—and learn how they fit together without getting deep into the math. Tap to explore and learn at your own pace.
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FeaturedLLMs don't 'think'—they predict tokens. Yet they solve math problems, debug code, and plan multi-step tasks. This guide explains the mechanics behind reasoning in language models and why reasoning agents represent the next frontier.
FeaturedYour RAG system answers questions. But what if it could solve problems? Learn how agentic AI transforms retrieval from Q&A into goal-directed systems that plan, act, and iterate.
FeaturedAI-native software isn't just adding AI features—it's fundamentally reimagining how we interact with applications. Discover the five transformative changes that signal you're using the software of the future.
FeaturedA hidden resume text hijacks your hiring AI. A malicious email steals your passwords. Welcome to prompt injection—the critical vulnerability every RAG engineer must understand and defend against.
FeaturedWhy shrinking your model is like compressing a JPEG—and how to do it without lobotomizing your AI.
FeaturedPeel back the layers of Large Language Models to understand the artificial neuron, the power of ReLU, and how these simple units power the massive Transformer architecture.
LLM Quantization Explained: An Engineer's Guide to FP32, Int8, GGUF & AWQ
Why shrinking your model is like compressing a JPEG—and how to do it without lobotomizing your AI.
The Bedrock of Intelligence: From a Single Neuron to the Heart of an LLM
Peel back the layers of Large Language Models to understand the artificial neuron, the power of ReLU, and how these simple units power the massive Transformer architecture.
Deconstructing the Giants: A Technical Deep Dive into LLM Architecture, Performance, and Cost
What does the '7B' on an LLM really mean? This article provides a rigorous breakdown of the Transformer architecture, showing exactly where those billions of parameters come from and how they directly impact VRAM, latency, cost, and concurrency in real-world deployments.
From Classifier to Creator: The Generative Leap
How a simple idea — “predict the next thing” — powers everything from ChatGPT to image generators.
Deep dive into LLM Inference Engine
We've explored the intricate architecture of the Transformer model—the billions of parameters that form its brain. But a brain, no matter how powerful, is useless without a nervous system and a life-support machine. That system, in the world of AI, is the inference engine.
What is a Neural Network?
Learn what a neural network is and how it works conceptually. No hard math, just logic.
