#AI concepts explained
123 related articles
·2 min
The Four Core Concepts of AI Agents Explained: Function Calling, Tool, MCP, and Skill
A clear breakdown of the four core AI Agent concepts: Function Calling, Tool, MCP, and Skill — understand the full tech stack behind intelligent agent development.
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·5 min
Getting Started with AI Agents: Concepts, Architecture, and Core Components Explained
What is an AI Agent? Starting from Bill Gates' claim about the computing revolution, this article explores AI Agents' intuitive concepts, four core components (LLM+Planning+Memory+Tools), and what Agent development means for programmers.
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·4 min
Prompt Engineering 101: Core Concepts, Value, and Limitations Explained
What is prompt engineering? This guide covers prompts, their four key functions, the 6-step engineering process, business value, and technical limitations for a complete foundation.
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Tutorials·3 min
LangChain Core Concepts Explained: A Complete Guide to Components, Chains, and Agents
Deep dive into LangChain's three core concepts—Components, Chains, and Agents. Learn how this open-source framework connects LLMs to the external world and helps developers build enterprise AI apps.
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·5 min
Loop Engineering Explained: The New Programming Paradigm Where AI Prompts Itself
Loop Engineering is a paradigm shift in AI usage. Learn how to build automated loops where agents explore, execute, and verify tasks autonomously, with a hands-on e-commerce case study.
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·3 min
What Are Agent Skills? A Detailed Guide to AI Agent Skill System Architecture and Principles
A deep dive into AI Agent Skills: understand the core concepts and technical implementation through the four key elements — SKILL.md, references, scripts, and assets — and learn how Skills differ from prompts.
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·2 min
A Beginner's Guide to Vibe Coding: Building Your Career Moat with AI Programming
A detailed guide to Vibe Coding with AI programming tools like Claude Code, Cursor, and Codex. Learn how to leverage AI-driven development to ship products independently and build lasting career value.
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·2 min
Zero-Code Guide to Coze: A Complete Beginner's Guide to AI Agent Development
A detailed guide to ByteDance's Coze platform covering agent building, workflow orchestration, and knowledge base management to help beginners start AI app development with zero coding.
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·4 min
A Beginner's Guide to AI Agents: Core Principles and Learning Paths Explained
Learn AI Agent core principles from scratch: understand how Agents differ from LLMs, their execution mechanisms, why rule design matters, and find the right learning path for your goals.
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·4 min
A Beginner's Guide to AI Agents: Core Principles and Learning Paths Explained
A beginner's guide to AI Agents: understand core principles, how Agents differ from LLMs, their execution mechanisms, and get tailored learning path recommendations.
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·3 min
Kimi K3 Local Deployment Guide: Storage Requirements for q4 and q8 Quantization Explained
Detailed analysis of Kimi K3 quantization deployment options, comparing q4 vs q8 storage requirements, precision trade-offs, and hardware configurations for local self-hosting.
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·5 min
Multiway Turing Machines: A New Paradigm from Single Computation to Multiple Possibilities
An in-depth analysis of Wolfram's multiway Turing machines, exploring how computation expands from single paths to multiway graph structures, and deep connections to AI search algorithms and quantum computing.
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·2 min
FastAPI Fundamentals: Frontend-Backend Separation and RESTful Design Explained
Learn the core concepts behind FastAPI: frontend-backend separation, API interface design, and RESTful specification. Master resource-oriented design before writing your first line of code.
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·3 min
LangChain v1.3 Hands-On Tutorial: Deep Dive into Agents, RAG, and Local Model Deployment
Deep dive into LangChain v1.3: compare LangChain, LangGraph, and DeepAgent paradigms, explore RAG pipelines, multi-agent systems, and local LLM deployment for enterprise AI apps.
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·3 min
Can You Make an AI Short Film in 30 Minutes? A Full Flowva Agent+Skill Walkthrough
Full Flowva review: complete AI short film pipeline via Agent chat — from script breakdown to asset generation, storyboarding, and editing, all without switching platforms.
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·3 min
Inside DeepMind's Robotics Lab: How VLA Models Teach Robots to Think Before They Act
Inside DeepMind's robotics lab: how VLA models give robots generalization and 'think-before-act' reasoning — from packing lunches to sorting trash, the path to general-purpose robots.
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·3 min
Getting Started with LangChain 1.3: Building Intelligent Agent Applications with Deep Agent
Learn LangChain 1.3 core concepts including LLM model abstraction, RAG retrieval-augmented generation, and Agent orchestration. Build a Deep Agent with planners, tools, and reflection modules.
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·2 min
Dissecting a Single Convolutional Neuron: A New Approach to Mechanistic Interpretability
An independent researcher dissects a single 1×1 convolutional neuron in InceptionV1, using Hadamard product clustering to reveal detection patterns and discovers how gradient descent hides concepts in noise.
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·3 min
n8n Automated AI Video Generation Pipeline: From Prompts to Batch Output — Complete Guide
A complete guide to n8n AI video generation automation: LLM-structured prompts, batch reference images, async video polling, and Google Sheets cost tracking — triggered by a single Webhook.
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·3 min
How to Choose an AI Agent Development Course? 5 Practical Screening Criteria to Avoid Common Pitfalls
How to choose a quality AI Agent development course? This guide covers 5 key criteria: complete delivery pipeline, resume-worthy projects, real engineering perspective, update frequency, and mentorship.
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