#LLM selection
1292 related articles
·4 min
Claude Code + Skills: A Practical Guide to AI-Powered Test Case Generation
Learn how to use Claude Code + Skills to auto-generate enterprise-grade test cases. Covers AI Agent vs LLM differences, the four core capabilities, and the complete workflow from requirements to test cases.
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·3 min
Cross-Location AI Agent Connectivity: A Complete Guide to Smart Networking Solutions for Enterprises
Enterprises deploying AI Agents across locations face network connectivity challenges. Learn how smart networking solutions enable low-cost, unified access to internal resources like knowledge bases and OA systems.
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·3 min
OpenAI Codex Beginner's Guide: From Environment Setup to Enterprise-Level Practice
A systematic guide to OpenAI Codex and AI LLM learning, covering Transformer basics, dev environment setup, prompt engineering, RAG deployment, LoRA fine-tuning, and AI Agent enterprise projects.
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·3 min
LFM2.5 Local Deployment Hands-On: An 8B Parameter Model That Outperforms GPT-o3s in Tool Calling
Hands-on test of Liquid AI's LFM2.5 local deployment: architecture breakdown, 16GB VRAM troubleshooting, and GraphRAG tool-calling benchmarks vs GPT-o3s.
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·2 min
AI Agent Development Learning Path: A Practical Guide from Zero to Commercial Deployment
A complete AI Agent development learning path covering theory, frameworks, tool integration, and commercial deployment with real enterprise use cases.
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·2 min
DeepSeek GUI Hands-On Review: How Powerful Is This Cache-First Local AI Coding Assistant?
Hands-on review of DeepSeek GUI's full agent workbench: KUN local runtime, cache-first architecture, task scheduler, and Token cost advantages for developers.
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·4 min
Complete AI Large Language Model Learning Roadmap: From Beginner to Production-Ready
A systematic guide to learning AI large language models, covering Transformer architecture, prompt engineering, RAG, AI Agents, fine-tuning, and enterprise projects from beginner to production-ready.
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·3 min
What Is Dify? Core Features and Getting Started Guide for the Open-Source AI Application Platform
A deep dive into Dify, the open-source AI app development platform — covering core features, Coze comparison, enterprise use cases, and a learning roadmap.
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·4 min
Learning Path for AI Agent Development: A Complete Guide from Core Architecture to Production Deployment
A complete learning path for AI Agent development covering core architecture, ReAct paradigm, multi-agent collaboration, RAG integration, and lightweight deployment to guide developers from basics to production.
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·3 min
AI Large Language Model Learning Roadmap for Beginners: A Complete Plan from Basics to Hands-On Practice
A systematic AI LLM learning roadmap for beginners covering prompt engineering, RAG, LangChain, Agents, and more — with timelines and project suggestions.
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·3 min
AI Agent Development Learning Roadmap: A Four-Stage Guide from Zero to Production
A systematic AI Agent development roadmap covering core concepts, ReAct paradigm principles, multi-agent collaboration, and hands-on projects across four stages to master agent development in 2-3 months.
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·4 min
LangChain4j in Practice: A Complete Tutorial for Building a RAG Medical Q&A System
A complete tutorial on building a RAG medical Q&A system with LangChain4j, covering Ollama local deployment, Redis vector DB, document vectorization, and Cursor AI-assisted development.
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·4 min
The Complete AI Agent Engineering Tech Stack: A Practical Guide to 100x Development Efficiency
Deep dive into the AI agent engineering stack: from Cursor framework, model selection to context engineering and automated review loops — a complete workflow guide to achieving 100x development efficiency.
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·3 min
Claude Code Local Deployment: A Practical Guide to Connecting Local LLMs
Complete guide to deploying Claude Code locally with Ollama, LM Studio, or vLLM. Covers architecture, protocol translation, hardware requirements, and model selection for zero-cost, private AI coding.
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·3 min
Open-Source Models Keep Throwing Errors in Your Code? The Problem Might Be the Framework
DeepSeek and Kimi keep failing at coding? The problem may not be the model but the framework. Learn how Commander Code fixes this with cache routing, tool call repair, and continuous learning.
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·3 min
Hands-On AI Programming for Beginners: Three Projects to Take You from Zero to Launch
Learn AI programming from scratch with three hands-on projects: a full-stack website, cross-platform desktop app, and AI digital human agent using Cursor and Claude Code.
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·4 min
AI Agent in Practice: Building a Commercial-Grade Programming Agent from Scratch
A deep dive into AI Agent development, from the core principles of perception-decision-action to a Vue3 auto-creation demo, covering LangChain, LangGraph, MCP, and the full tech stack.
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·3 min
AI Agent Tutorial Collection: Complete Coverage of Multi-Agent, Memory, and Reasoning
Open-source AI Agent tutorial project with 2600+ GitHub Stars covering multi-agent systems, memory, planning, and reasoning loops via Jupyter Notebooks for hands-on learning.
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·3 min
Hermes Agent Deep Dive: A Self-Evolving Agent Architecture with Practical Implementation Guide
Deep dive into Hermes Agent's core architecture: four-layer memory system, Skill self-evolution mechanism, Harness Engineering methodology, OpenCloud comparison, and Feishu integration tutorial.
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·3 min
n8n Workflow Platform: A Practical Guide to Automation Orchestration and AI Agent Development
A deep dive into n8n's open-source workflow automation platform, covering AI Agent, Chain nodes, Tool nodes, and a complete guide to building RAG knowledge base Q&A systems.
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