#embedding
1906 related articles
·3 min
AI Agent Learning Path from Zero: A Complete Guide from Principles to Practice
A systematic AI Agent learning path covering core principles, dev environment setup, memory management, multi-agent collaboration, and hands-on projects for beginners.
Read more →
·3 min
AI Agent Development: A Three-Stage Learning Roadmap from Zero to One
A systematic three-stage AI Agent development roadmap: from Python basics and LLM fundamentals, through five core capabilities like planning and tool use, to hands-on RAG projects for real-world deployment.
Read more →
·3 min
AI Skills System: A Practical Guide to On-Demand Capability Loading for Agents
Deep dive into the AI Skills system architecture and execution flow, covering Skill.md dual-layer design, skill scanning and matching, on-demand loading, and practical integration methods.
Read more →
·3 min
Agent Skills Architecture Explained: A New Paradigm for Modular AI Agent Development
A deep dive into Agent Skills architecture: core concepts, components, and how it works. Clarifies common misconceptions about Skills vs. MCP, and compares Skills with Multi-Agent architecture.
Read more →
·3 min
Loop Engineering Explained: An Engineering Approach to Making AI Coding Agents Run Autonomously in Loops
A deep dive into Loop Engineering and the Rhythmic framework: how closed-loop systems replace repetitive prompting to enable autonomous AI coding agents with state management and budget control.
Read more →
·3 min
Java Developer's Guide to AI: Hands-On with Spring AI and RAG
A practical guide for Java developers to build AI apps without switching languages — covering LLM APIs, prompt engineering, RAG, Spring AI, and Langchain4j.
Read more →
·3 min
How Much Math Do AI Practitioners Really Need? A Deep Dive into Three Role Types
How much math do AI/ML practitioners really need? This article breaks down three roles — Users, Developers, and Researchers — and analyzes the math requirements for each to help you plan your learning path.
Read more →
·3 min
Manfen Xiaoxueba AI Smart Alarm Clock Pro Review: Is It Worth 139 Yuan?
In-depth review of the Manfen Xiaoxueba AI Smart Alarm Clock Pro. Originally 269 yuan, now 139 yuan after coupons with 80 yuan cashback. Analyzing AI interaction, textbook sync, and story features.
Read more →
·3 min
SkillSpector: NVIDIA's Open-Source Security Scanner for AI Agent Skills
SkillSpector is NVIDIA's open-source AI Agent Skill security scanner that detects data exfiltration, malicious commands, and overly broad permissions before installation.
Read more →
·3 min
Andrew Ng Partners with Anthropic to Launch a Comprehensive Claude Code Hands-On Course
Andrew Ng partners with Anthropic on a Claude Code course covering context configuration, MCP server collaboration, multi-instance workflows, and a RAG chatbot hands-on project.
Read more →
·3 min
Claude Tag Comes to Slack: The Ambitions and Concerns of an AI Teammate
Anthropic launches Claude Tag, embedding AI as an always-on teammate in Slack. A deep analysis of its product design, strategic intent, data security concerns, and the AI enterprise gateway battle.
Read more →
·4 min
Codex Hands-On Tutorial: A Complete Guide from Installation to Enterprise-Level AI Programming
A complete hands-on guide to OpenAI Codex covering installation, CLI interaction, agents.md setup, MCP protocol integration, Rules governance, and building a RAG intelligent customer service system.
Read more →
·3 min
MiniMax Code Hands-On Review: How AI Development Team Mode Redefines Programming Collaboration
In-depth review of MiniMax Code (MCode) Agent Team collaboration through Starbucks financial visualization and Next.js website development cases.
Read more →
·2 min
n8n from Beginner to Expert: A Complete Guide to Building AI Agent Workflows with Zero Code
Complete guide to n8n's AI capabilities covering AI Agent, Chain nodes, and Tool nodes. Learn to build enterprise-grade AI workflows with zero code, from setup to RAG systems.
Read more →
·2 min
What Is AI Loop? The Paradigm Shift from Agents to Loop-Based Architecture
Deep dive into AI Loop architecture: how continuous-running agent swarms differ from traditional AI Agents, with applications in software development, cybersecurity, and beyond.
Read more →
·2 min
DiffusionGemma: Google's Text Diffusion Model Achieves 4x Inference Speedup
Google launches DiffusionGemma, a text diffusion language model achieving 4x faster inference than Gemma 4 series. Learn how text diffusion works and its impact on AI.
Read more →
·3 min
Tata Electronics Confirms Data Breach: Apple and Tesla Supply Chain Security Under Threat
Apple and Tesla core supplier Tata Electronics confirms data breach. As a critical node in the global tech supply chain, this incident may compromise product secrets and supply chain intelligence.
Read more →
·3 min
Graph Neural Networks (GNN): Six Core Application Scenarios and a Complete Industry Implementation Overview
Explore GNN's core concepts and six major applications: chip design, recommendation systems, financial risk control, traffic prediction, autonomous driving, and healthcare R&D.
Read more →
·2 min
Sakana AI in Practice: Reshaping Banking Lending Operations with AI Agents — Technology and Strategy
Deep dive into how Sakana AI applies AI Agents to banking lending operations, covering end-to-end support from information gathering to approval document generation, plus technical challenges and human-AI collaboration design.
Read more →
·1 min
NVIDIA's Guide to Building Financial Transaction Foundation Models: From Pre-training to Downstream Applications
Deep dive into NVIDIA's guide for building financial transaction foundation models, covering representation learning, Transformer pre-training, distributed GPU training, and fine-tuning for fraud detection and credit assessment.
Read more →