#LLM framework
3385 related articles
Tutorials·4 min
Building a Generative Recommendation System with Go and AI Agents: Architecture Design and Practical Analysis
Deep dive into a Go-based generative recommendation system powered by LLMs, covering three-level semantic understanding, three-layer user memory, and five-dimensional feedback design.
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Tech Frontiers·3 min
NemoClaw Roadmap Analysis: Open-Source Collaboration and Real-World Robot Deployment
In-depth analysis of NVIDIA NemoClaw's expansion roadmap, covering OpenClaw open-source collaboration, sim-to-real transfer, dexterous manipulation breakthroughs, and commercialization paths in embodied AI.
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Tutorials·3 min
NVIDIA Nemotron Labs Open Source Contribution Guide: A Complete Playbook for Developers Joining AI Open Source Projects
A comprehensive guide to contributing to NVIDIA Nemotron Labs open source projects, covering NeMo framework contributions, community participation, and career benefits for AI developers.
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Tech Frontiers·3 min
Inside the SJSU Hackathon Winning Projects: A Practical Guide to Building High-Impact AI Agents
Deep analysis of SJSU hackathon-winning AI Agent projects covering architecture design, core elements, and UX optimization—a practical guide from prototype to product.
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Tutorials·3 min
Deploying Gemma 4 on DGX Spark: A Complete Guide to Local AI Supercomputing + Open-Source LLMs
Deep dive into deploying Google Gemma 4 on NVIDIA DGX Spark. Covers hardware architecture, Gemma 4 highlights, local AI deployment benefits, and developer best practices for desktop-class AI supercomputing.
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Tutorials·3 min
Commercial AI Agent Development Guide: 7 Key Steps to Build from Scratch
A complete guide to building commercial AI Agents in 7 steps: requirements analysis, model selection, prompt engineering, Dify/Coze platform comparison, data storage, testing, and deployment.
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Expert Opinions·3 min
The Tyranny of Software Is Ending: AI Lets Everyone Build Apps
Programming barriers once divided the world into those who build software and those who merely use it. AI coding tools and LLMs are breaking down that wall, enabling anyone to create apps through natural language.
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Deep Dives·3 min
Claude Code Source Code Leak Revealed: Seven Core Mechanisms of the Harness Architecture Explained
Deep analysis of the Claude Code source code leak, revealing seven core mechanisms of its Harness architecture including context management, tool call orchestration, and state tracking for AI Agent developers.
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Product Reviews·4 min
Hermes Agent Web UI Complete Review: Kanban Feature + Desktop App Hands-On Experience
In-depth review of Hermes Agent's Web UI, Kanban board, desktop app, and Terminal UI dashboard. Compared with Claude Code, see how this free open-source AI Agent framework makes automation accessible.
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Expert Opinions·4 min
Interview with a Core Developer of Microsoft's Agent Framework: A Complete Analysis of Architecture Design and Evolution
In-depth interview with Microsoft Agent Framework core developer Roger Barreto on the evolution from Semantic Kernel, middleware architecture design, enterprise stability strategies, and AI development best practices.
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Deep Dives·3 min
Deep Dive into Hermes Agent: A Self-Evolving AI Framework That Uses Fewer Tokens Than OpenManus
Deep analysis of Hermes Agent: lower Token usage than OpenManus, persistent long-term memory, and a self-learning loop. See how this 120K-Star GitHub project redefines AI Agents.
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Tutorials·3 min
Andrew Ng's 2025 New Course: Core Methodology and Best Practices for Building AI Agents
A deep dive into Andrew Ng's latest Deeplearning.AI course on AI Agents, covering Agentic AI use cases, disciplined development workflows, evaluation frameworks, and error analysis methodology.
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Deep Dives·3 min
Deep Dive into ByteDance's Hermes Agent Orange Book: A 198-Page Complete Guide to AI Agent Development
Deep dive into ByteDance's Hermes Agent Orange Book covering self-evolution loops, three-layer memory systems, Skill ecosystems, and multi-Agent collaboration — a complete 198-page technical guide.
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Tutorials·4 min
AI-Powered Research in Practice: From LLM Selection to Building Automated Workflows with N8N
A deep dive into AI-driven research methodology: LLM selection, Python automation, Zotero reference management, Overleaf writing, local LLM deployment, and N8N workflow automation.
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Deep Dives·4 min
From Copilot to Agentic AI: A Complete Guide to Multi-Agent Collaboration Architectures
Deep dive into AI's four-stage evolution from Chat to Agentic AI, covering multi-Agent architectures, ReAct framework, and MCP protocol for developers.
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Deep Dives·4 min
Harness Engineering Explained: The Third-Generation Development Paradigm for Taming AI Agents
Deep dive into Harness Engineering: the third-gen AI development paradigm. Learn its three-layer architecture for effectively harnessing AI Agents to complete complex development tasks.
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Tech Frontiers·2 min
Datasette Launches Official Blog: Simon Willison Built It from Scratch with OpenAI Codex
Datasette founder Simon Willison launches official blog built with OpenAI Codex Desktop, sharing full AI session transcripts and demonstrating transparent AI-assisted development practices.
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Tutorials·4 min
A Practical Guide for Java Developers Transitioning to AI Agent Development: Technology Selection, Architecture Design & Resume Positioning
A systematic guide for Java developers entering AI Agent development, covering core concepts, Workflow vs. Agent architecture comparison, Spring AI Alibaba selection, and resume positioning strategies.
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Tutorials·4 min
Complete Guide to Agentic RAG: Principles, Architecture, and Hands-On Implementation
Deep dive into Agentic RAG principles and implementation. Compare traditional RAG limitations, learn tool-based retrieval with ReAct Agent loops, with LangChain/LangGraph code examples.
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Tutorials·4 min
Agentic RAG Practical Guide: The Complete Evolution from Traditional RAG to Agent-Based Retrieval
Deep dive into Agentic RAG vs traditional RAG, with ChatPDF case study and LangChain code walkthrough covering tool design, multi-turn iteration, and autonomous decision-making for LLM engineers.
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