#LLM tool augmentation
98 related articles
·4 min
AI Agent Learning Roadmap: From Zero to Real-World Projects
A complete AI Agent learning roadmap covering agent principles, prompt engineering, RAG, multi-agent systems, and hands-on projects — from zero to real-world deployment.
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·2 min
Why Perplexity Fell Out of Favor: The Moat Problem Facing AI Search Products
A power user went from "can't live without it" to "barely use it" — Perplexity's story reveals the core moat problem in AI search: how long can vertical AI products hold their edge as ChatGPT and Claude expand into search?
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·4 min
8-Step AI Agent Development Guide: From Zero to Production
Demo works but production fails? This guide covers the full AI Agent development path: when to use Agents, hand-writing ReAct loops, tool schemas, RAG, eval sets, and production fallback strategies.
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·5 min
Advanced Vibe Coding: How SuperPowers and GStack Make AI Coding Truly Converge
In the age of AI-assisted programming, how do you make tools like Codex and Claude Code output more stably? This article deeply analyzes SuperPowers and GStack, covering project-level orchestration and module-level code layering to help developers master AI coding.
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·7 min
The Four-Stage Learning Path for AI Agent Development: From Beginner to Real-World Deployment
A systematic four-stage roadmap for AI Agent development: fundamentals, core principles, enhancement, and real-world deployment. Build complete Agent skills.
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·6 min
Doubao and Qwen Retire AI Agents: How Compute Costs Are Reshaping AI's Commercial Boundaries
Doubao and Qwen have retired their AI Agent features. The real reason isn't regulation—it's that companion-chat users don't pay, making compute costs unrecoverable. A deep dive into AI's cost dilemma.
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·7 min
The Trap of AI Visibility Dashboards: Why Most Metrics Are Meaningless
Can a brand's "visibility" in AI answers really be quantified? This article deeply dissects the methodological flaws of AI visibility dashboards—from LLM output randomness and black-box mechanisms to vanity metric traps.
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·7 min
HuggingFace Open-Sources ml-intern: An AI Engineer That Reads Papers and Trains Models Autonomously
Hugging Face's open-source ml-intern autonomously reads papers, writes training scripts, and finetunes LLMs, deeply integrating the HF ecosystem and smolagents. Explore its features and impact on ML careers.
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·6 min
AI for Beginners: A Five-Step Practical Path That Skips the Math and Python Syntax Traps
Struggling with math and Python when learning AI from scratch? This article lays out a five-step entry path: grasp the concepts, learn Python lightly, master ML and deep learning principles, get hands-on with PyTorch, then deepen understanding through real projects.
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·6 min
Coze from Scratch: A Complete Guide to Building Multi-Agent Collaboration
A detailed guide to Coze's core features: cross-platform interoperability, the Skills system, multi-agent collaboration, and workflow building. Compare Coze and Dify to build practical AI apps with zero coding.
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·6 min
Does AI Adoption Actually Lead to More Hiring? Explaining This Counterintuitive Phenomenon
Growing data shows companies aggressively adopting AI are actually hiring more. This article explores the overlooked complex relationship between AI and employment through the Jevons Paradox, new job creation, and competitive divergence.
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·6 min
AI Job Displacement Fears Cool Down: Why Tech Giants Are Collectively Pivoting to the 'Augmentation' Narrative
Silicon Valley tech giants are quietly abandoning the doomsday 'AI destroys jobs' narrative in favor of AI augmentation and human-AI collaboration. A deep analysis of the reality gap, regulatory pressure, and business logic behind this reversal.
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·4 min
AI's Impact on the Entry-Level Developer Job Market: Crisis or Opportunity?
Generative AI is reshaping software development, shrinking demand for junior developer roles. This article analyzes why entry-level positions are most at risk, the talent pipeline implications, and how junior developers can leverage AI tools to stay competitive.
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·2 min
Dify Getting Started Guide: Build Enterprise-Grade AI Apps with Zero Code
Dify is a Chinese open-source AI app platform supporting chatbots, Agents, and workflows. This guide covers Dify 1.8.0 Docker deployment, enterprise use cases, and how to build your first AI app.
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·7 min
AI Agent Development: A Four-Stage Competency Model from 15K to 40K RMB Salary Growth Path
A detailed four-stage competency model for AI Agent development: from Python/RAG basics (15K) to workflow orchestration (20K), inference optimization (30K), and Agent cluster governance (40K RMB).
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·3 min
Dify Comprehensive Guide: The Open-Source Platform for Building AI Apps Without Code
Deep dive into Dify, the open-source LLM app development platform featuring visual workflow engine, RAG knowledge base, Agent capabilities, hundreds of model integrations, Docker deployment, and comparisons with LangChain, Coze, and FastGPT.
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AI's Impact on the Job Market: Billion…
·2 min
AI's Impact on the Job Market: Billions of Jobs Facing Disruptive Transformation
AI is rapidly disrupting the global job market, threatening billions of roles from content creation to programming. Explore the risks, opportunities, and strategies for navigating this transformation.
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·2 min
Spring AI vs LangChain4j: A Comprehensive Comparison of Java AI Frameworks
In-depth comparison of Spring AI and LangChain4j covering ecosystem integration, features, usability, RAG, Tools, MCP, and Agents to help Java developers choose the right AI framework.
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·4 min
Spring AI vs LangChain4j: How to Choose a Java AI Framework
In-depth comparison of Spring AI and LangChain4j — two major Java AI frameworks — covering core features, completeness, ecosystem support, and usability to help Java developers make the right choice.
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·4 min
Codex Switch: A Deep Dive into the Protocol Translation Tool for Connecting DeepSeek to Codex
Learn how Codex Switch enables DeepSeek, GLM, and other models to seamlessly connect to OpenAI Codex CLI via local proxy protocol translation, vision augmentation, and web search.
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