ai architecture

Inner Workings of ChatGPT-4 AI Attention Blocks, Feedforward Networks, and More

At its core, ChatGPT-4 is built on the Transformer architecture, which revolutionized AI with its self-attention mechanism. Below, we break down the key components and their roles in generating human-like text. 1. Transformer Architecture Overview The Transformer consists of encoder and decoder stacks, but GPT-4 is decoder-only (it generates text autoregressively). Key Layers in Each Block:…

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KV CACHING

KV Caching Explained: A Deep Dive into Optimizing Transformer Inference

Introduction to KV Caching When large language models (LLMs) generate text autoregressively, they perform redundant computations by reprocessing the same tokens repeatedly. Key-Value (KV) Caching solves this by storing intermediate attention states, dramatically improving inference speed – often by 5x or more in practice. In this comprehensive guide, we’ll: Explain the transformer attention bottleneck Implement KV caching from scratch…

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