#peer instruction
120 related articles
·5 min
A Programmer's Guide to Large Language Models: The Complete Path from Prompts to Agents
A tailored large-model learning path for ordinary programmers: from prompt engineering, API calls, and LangChain, to RAG, Agents, fine-tuning, and enterprise deployment—six steps to build AI application skills fast.
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·6 min
Codex China Direct Access Tutorial: Guide to Using DeepSeek as a ChatGPT Replacement
Use Codex without a ChatGPT account! This guide explains a China direct access solution for integrating the DeepSeek API via the Codex++ management tool.
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·6 min
GLM 5.2 Arrives: Industry Upheaval on the Eve of AI Margin Collapse
The rise of Zhipu's GLM 5.2 is accelerating the democratization of LLM capabilities. This article analyzes the commoditization of foundation models, the logic behind margin collapse, and the opportunities and challenges facing application-layer and foundation model firms.
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·5 min
NVIDIA AI-Q Blueprint × OCI: A Practical Guide to Production Deployment of Enterprise AI Agents
Deep dive into NVIDIA AI-Q Blueprint production deployment on Oracle Cloud Infrastructure, covering NIM microservices, RAG architecture, multi-agent orchestration, and OCI GPU selection for enterprise AI agents.
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·5 min
NVIDIA AI-Q Blueprint × OCI: A Practical Guide to Production Deployment of Enterprise AI Agents
Deep dive into NVIDIA AI-Q Blueprint production deployment on Oracle Cloud Infrastructure, covering NIM microservices, RAG architecture, multi-agent orchestration, and OCI GPU selection.
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·7 min
The Complete Guide to Agent Skills: Principles, Structure & Practical Applications
Deep dive into AI Agent Skills: SKILL.md file structure, four component modules, differences from prompts, and practical scenarios for frontend generation, PPT creation, and more.
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·7 min
Real-Time Collaborative Painting on a 3D Globe: A Deep Dive into the Paint the Earth Open Source Experiment
Paint the Earth is an open-source project letting users worldwide paint together in real time on an interactive 3D globe. This article breaks down its WebGL rendering, WebSocket real-time sync, and the social value behind collaborative art.
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·5 min
Loop Engineering: A Comprehensive Guide to AI Agent Loop Design
A deep dive into Loop Engineering for AI Agents — what loop feedback mechanisms are, how they differ from Harness Engineering, and a complete guide from principles to production implementation.
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·2 min
Python + AI Learning Roadmap for Beginners: A Complete Guide from Basics to Practice
New to Python and AI? This guide breaks down Linux, MySQL, and Python into clear learning modules with goals and benchmarks — helping beginners build a solid, executable roadmap from day one.
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·7 min
Andrew Ng Teams Up with LangChain: Core Principles of LangGraph Agent Development
Andrew Ng and LangChain CEO Harrison Chase present AI Agents in LangGraph, covering five core agent design patterns and LangGraph's graph-based framework for building cyclical agentic workflows.
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·7 min
Andrew Ng Teams Up with LangChain: Core Concepts of LangGraph Agent Development
Andrew Ng and LangChain CEO Harrison Chase's AI Agents in LangGraph course covers five agent design patterns and LangGraph's graph-based framework for building cyclical AI workflows.
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AI Tutor Achieves Effect Size of 1.30:…
·5 min
AI Tutor Achieves Effect Size of 1.30: How Dartmouth's Experiment Approaches Education's 'Two Sigma' Holy Grail
Dartmouth's latest study shows an AI tutor system achieving 0.71–1.30 SD learning effect sizes in a real course, far exceeding most educational interventions. We examine what these numbers mean and why caution is still warranted.
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AI Is Crushing the Knowledge Economy: …
·3 min
AI Is Crushing the Knowledge Economy: The Truth Behind Course Sales Dropping by Half
Top educator Josh W. Comeau reveals course sales dropped over 50%. AI delivers a double whammy: career anxiety kills demand, and LLMs replace paid courses for free.
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·7 min
Getting Started with LangGraph Multi-Agent Development: Architecture Analysis and Three Practical Case Studies
Learn LangGraph multi-agent development covering Supervisor and Collaboration architectures, with three hands-on projects: code assistant, prompt assistant, and WebRTC digital human.
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·7 min
Linked Context: How AI Agent Skills Can Point to the Entire Open Web
Deep dive into Skill Studio's "Linked Context" mechanism—skill files become real-time URL fetches instead of pre-loaded copies, extending AI Agent progressive disclosure to the entire open web.
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·6 min
The New Normal of AI Programming: How Autonomous Agent Development Is Reshaping Software Engineering
AI Agent autonomous programming is evolving from niche experiments to the industry default. This article analyzes the three stages of AI-assisted programming, its impact on developer skills, process restructuring, and key challenges.
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·4 min
AI Agent Learning Roadmap for Beginners: A Three-Stage Journey from Fundamentals to Hands-On Practice
A systematic AI Agent learning roadmap for beginners covering core theory, the ReAct paradigm, and multi-agent collaboration, with hands-on project suggestions.
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·3 min
AI Agent Beginner's Guide: A Complete Four-Stage Learning Path
A complete learning path for AI Agent development from scratch, covering core theory, ReAct paradigm, multi-agent collaboration, Prompt optimization, and hands-on projects across four stages.
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·3 min
AI Tool Power Rankings: Which AI Is Best for Each Task?
After testing hundreds of AI tools, here are the best picks for 8 core tasks: Claude Opus for writing, Perplexity for research, NotebookLM for learning, Gamma AI for presentations, and more.
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·4 min
AI Agent Development: A Complete Six-Week Systematic Learning Roadmap
A systematic six-week learning roadmap for AI Agent development covering core architecture, ReAct paradigm, multi-agent collaboration, RAG integration, deployment, and hands-on projects.
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