#LLM development tutorial
531 related articles
Tutorials·1 min
AI Large Language Model Learning Roadmap: Six Stages from Zero to Engineer
A systematic LLM engineer learning roadmap covering Transformer basics, prompt engineering, RAG, Agent development, API integration, fine-tuning, deployment, and project practice across six stages.
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Tutorials·3 min
Complete Learning Roadmap for Java Developers Transitioning to AI Engineering
A detailed five-phase learning roadmap for Java developers transitioning to AI engineering, covering Spring AI, LangChain4j, RAG core technology, and Agent development.
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Tutorials·3 min
Andrew Ng's Agent AI Course Fully Explained: Why It's Taking the Tech World by Storm
Deep dive into why Andrew Ng's Agent AI course went viral, covering the five-module agent architecture breakdown, course highlights, target audience, and learning tips for developers.
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Expert Opinions·3 min
The Salary Ceiling for Agent Engineers: Two Critical Dividing Lines
Agent engineer salary gaps hinge on two dividing lines: real production deployment experience and depth of foundational theory including deep learning, fine-tuning, and reinforcement learning.
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Deep Dives·4 min
AI Agents 101: Core Concepts, Technical Architecture, and How They Work
A beginner's guide to AI Agents: understand core concepts, the perception-decision-action loop, LLM, tool calling, memory systems, and RAG architecture explained from scratch.
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Tutorials·4 min
Semi-AI Mode: A Pragmatic Approach to API Automation Testing Frameworks
Explore the semi-AI approach to API automation testing: why pure AI fails, framework design principles, technology choices, and clear human-AI division of labor for practical implementation.
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Tutorials·4 min
New API in Practice: Complete Tutorial for Building Your Own AI API Relay Station
Complete tutorial on building an AI API relay station using the New API open-source project, covering Docker deployment, server configuration, channel management, token distribution, and client verification.
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Tutorials·3 min
Andrew Ng's New Course: A Complete Guide to Building Database Agents
Deep dive into Andrew Ng's Building Your Own Database Agent course with Microsoft, covering LLM-SQL interaction, LangChain Agents, Function Calling, and RAG for tabular data.
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Tutorials·3 min
Hermes Agent Framework Practical Guide: Building AI Agents from Scratch
A detailed guide on ByteDance's Hermes Agent framework covering core features, deployment, custom tool development, and enterprise-grade AI Agent applications.
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Tutorials·2 min
Complete Guide to Configuring Local DeepSeek Model in PyCharm for AI-Assisted Programming
Learn how to configure a local DeepSeek model in PyCharm via Ollama for free, privacy-safe AI-assisted programming. Includes installation steps, plugin setup, usage tips, and hardware recommendations.
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Tutorials·3 min
LangChain Unified Interface in Practice: A Guide to Avoiding Model Invocation Pitfalls
A detailed comparison of LangChain's two model invocation approaches, focusing on init_chat_model unified interface usage and tips for avoiding DeepSeek V4 Pro Thinking Mode pitfalls in Agent scenarios.
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Tutorials·3 min
Complete Guide to Claude Code GitHub Integration and Hooks
A detailed guide to Claude Code's GitHub integration for automated PR reviews and Issue fixes, plus the Hooks mechanism for injecting custom logic into AI workflows.
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Tutorials·3 min
Deep Dive into a 198-Hour Python Zero-to-Hero Course: Is This Learning Path Worth Following?
In-depth analysis of a 198-hour Python+AI beginner course: breaking down its structure, learning path, and projects with honest pros, cons, and study tips.
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Tutorials·3 min
Can You Really Transition to AI/LLM in Three Months? A Deep Dive into the Learning Roadmap
Deep dive into a popular 3-month AI/LLM transition roadmap: from Python basics and Prompt engineering to LangChain, RAG, Agents, and hands-on projects, with realistic time estimates and pitfall warnings.
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Tutorials·3 min
Gemini CLI Complete Guide: MCP Extensions & Memory Files in Practice
Complete guide to Google Gemini CLI setup, MCP Server extensions, and memory files. Covers 1M token context analysis, Context7 docs, Taskmaster task breakdown, and more.
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Tutorials·3 min
Review of a 648-Episode Complete Python Tutorial: Is It Worth Learning from Zero to AI Applications?
In-depth review of a 648-episode Python tutorial on Bilibili, analyzing its three-stage course structure, resource quality, and learning effectiveness with practical study tips for beginners.
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Product Reviews·2 min
Claude Opus 4.8 Real-World Testing: What $50 in Tokens Actually Gets You
In-depth testing of Claude Opus 4.8 across game dev, UI reproduction, 3D scenes, and tool building—$50 in Tokens reveals its true capabilities and limits.
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Industry Insights
The Cnblogs Account Ban Incident: Why …
·3 min
The Cnblogs Account Ban Incident: Why a Legacy Tech Community Is Losing Its Creators
A veteran Cnblogs blogger was banned for 15 days over an AI programming tutorial. This article examines the incident, the platform's declining quality, and the survival crisis facing legacy tech communities.
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Product Reviews·3 min
Claude Code with MiniMax M2: Testing a Low-Cost AI Coding Solution Across Three Real Projects
Real-world testing of MiniMax M2 as Claude Code's backend model across three projects: framework migration, iOS development, and full-stack MVP — at just 8% of Claude's price.
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Tutorials·3 min
Bolt.DIY + Claude 3.7 Sonnet: Building Full-Stack Apps with Zero Code
Learn how to use open-source Bolt.DIY with Claude 3.7 Sonnet to build full-stack web apps with zero code. Includes local deployment tutorial, hands-on demo, and cost analysis—an AI course platform built in 13 minutes for $3.
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