Mechanism of Deep Learning: How AI Perceives the World
Tags
26 pages
Ai
Edge AI and NPU (Neural Processing Unit) Architecture
History of Communication Protocols Between AI Agents
Prompt Injection and Jailbreak: New Threats and Defenses in LLM Applications
The Evolution of RAG: Integrating GraphRAG and Knowledge Graphs
Goodhart's Law: Why Metrics Break When They Become Targets
Vector Databases and HNSW: Fast Search for Semantically Similar Text
Model Context Protocol (MCP): A Common Standard Connecting AI and External Tools
Deep Dive into AI Agent Architecture Design: From Prompts to Autonomous Multi-Agents
LLM Inference Acceleration: How KV Cache and Speculative Decoding Work
Content Credentials and C2PA: Proving the Origin of AI Images Using Cryptography
Introduction to WebGPU: The Era of Directly Harnessing the GPU from the Browser
Alan Turing: The Father of AI and His Tragic End
Deep Blue vs. Kasparov (The Shock of 1997): The Full Story of the Historic Match Between Humanity and AI
The Heart of AI: How Deep Learning Works - How Neural Networks Learn
The History of NVIDIA (GeForce): The Trajectory from 3D Graphics to the Heart of AI (GPU)
History of Google: Evolution from a Search Engine to an 'AI-First' Company
History of Microsoft: Dawn of the PC, Windows Hegemony, and Adaptation to the Cloud and AI Era
Mechanism of LLM (Large Language Model) and Application to Programming (Transformer Model, Prompt Engineering)
Bayes' Theorem: Updating Probability with "New Evidence", the Core of AI and Statistics
