#large language model courses
185 related articles
·3 min
A Beginner's Guide to AI Agents: Two Learning Paths for Developers and Practitioners
How to learn AI Agents from scratch? This guide covers two clear paths: developers go from Python to LLMs to open-source framework source code; practitioners use Claude Code or similar tools to get results fast.
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·3 min
Three Essential Hard Skills Traditional Product Managers Need to Transition into AI PM
How can traditional product managers transition to AI PM? This article analyzes the essential differences and details three must-have skills: AI product cognition, advanced Prompt engineering, and large model technical logic.
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·2 min
Why 'Clean Code' Author Uncle Bob No Longer Reviews AI-Generated Code Line by Line
Clean Code author Robert C. Martin no longer reviews AI-generated code line by line, shifting to test-driven verification. We explore the logic, debate, and implications.
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·3 min
Agent Skills Explained: Plug-and-Play Skill Packs for AI
A deep dive into Agent Skills architecture: modular design, progressive disclosure mechanism, and how it differs from Multi-Agent systems for AI capability extension.
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·4 min
Chinese AI Accounts for 58% of US Compute Consumption: How Open-Source LLMs Are Disrupting Silicon Valley
OpenRouter data shows Chinese AI models now account for 58% of US AI consumption. Silicon Valley giants like DoorDash and Airbnb adopt Kimi, DeepSeek, and Qwen, leveraging low cost, high performance, and open weights.
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·4 min
Chinese AI Accounts for 58% of US Compute Consumption: How Open-Source LLMs Are Disrupting Silicon Valley
OpenRouter data shows Chinese AI models now account for 58% of US AI consumption. Silicon Valley giants like DoorDash and Airbnb adopt Kimi, DeepSeek, and Qwen for their low cost and open-weight advantages.
Read more →
·3 min
Mathematical Foundations for Machine Learning: A Complete Learning Path from Linear Algebra to Probability Theory
A systematic guide to the three core math areas for ML—linear algebra, calculus, and probability—with verified free resources like Mathematics for Machine Learning, 3Blue1Brown, and practical learning strategies.
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·3 min
The 'Permanent Underclass' of the AI Era: How Ordinary People Can Confront Class Stratification Anxiety
From a Reddit post to Sam Altman's "permanent underclass" concept, a deep analysis of class stratification risks in the AI era and how ordinary people can find their path forward.
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·4 min
30+ Free Classic AI/ML Books Recommended: All Collected in One GitHub Repository
An open-source GitHub repo curates 30+ legally free AI/ML classic books covering deep learning, RL, NLP, computer vision & more, with automated link checking.
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·5 min
30+ Free AI & Machine Learning Classic Textbooks: All in One GitHub Repository
Awesome Free AI Books is an open-source repo with 30+ legally free AI & ML classic textbooks covering deep learning, reinforcement learning, NLP, LLMs, and more — all linking to official sources with weekly automated link checks.
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·2 min
Deep Dive into Agent Skills Architecture: How to Extend AI Agent Capabilities
Agent Skills is a lightweight open-source format that extends AI agent capabilities with plug-and-play skill packages. This article dives deep into the Skills architecture, progressive disclosure, and how it differs from Multi-Agent design.
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·3 min
Rust and Mojo Are Quietly Replacing Python's Low-Level Engine
Python tops the language rankings again, but AI teams are quietly swapping its internals for Rust and Mojo. A look at Python's speed and GIL pains, the two-language problem, and the rise of Rust tooling and Mojo on GPUs.
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·3 min
Getting Started with AI Agent Development: A Learning Path from Zero to Deployment
A systematic guide to the complete learning path for AI Agent development—covering prompt engineering, RAG knowledge bases, LangChain & LangGraph, fine-tuning, and multi-agent collaboration.
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·2 min
Agent Skills Explained: Giving AI Plug-and-Play Capability Packs
Agent Skills is a lightweight open-source format that lets AI agents extend professional capabilities on demand, like loading plugins. Learn what Agent Skills are, the problems they solve, and their modular advantages.
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·2 min
A Complete Guide to Learning AI Agents from Scratch: From Beginner to Practice
A complete guide to learning AI Agents: from large model fundamentals and core technologies to hands-on projects. Systematically outlines beginner methods and exposes crash-course marketing traps.
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·3 min
Introduction to How AI Large Models Work: A Must-Read Guide for Test Engineers
A clear explanation of how AI large models work: from concept hierarchy and Transformer mechanics to probabilistic traits, helping test engineers grasp AI testing.
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·3 min
Introduction to AI Large Language Models: A Must-Read Guide for Test Engineers
A thorough explanation of the essence of AI large language models: from conceptual hierarchy and Transformer mechanics to probabilistic nature, helping test engineers understand LLM strengths and weaknesses.
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·1 min
Getting Started with Claude Code: An AI Coding Tool Anyone Can Use, Even Beginners
Claude Code is an AI-assisted coding tool for programmers, supporting natural language interaction and local environments. Even beginners can pick it up fast.
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·4 min
Making $3,000/Month Freelancing with Codex? A Rational Look at AI Coding Side Hustles
Can AI coding tools really earn you $3K/month with zero experience? We break down the marketing hype around Codex freelancing, examine the 4-week roadmap, and reveal what AI-assisted coding can realistically offer.
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·6 min
Making Money with AI Coding Gigs: A Sober Breakdown and Honest Assessment of the Four-Week Learning Path
Can beginners really earn over 10,000 yuan in their first month with AI coding gigs? This article breaks down the four-week AI coding learning path week by week and objectively assesses the real monetization barriers.
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