#PyTorch
43 related articles
Product Reviews·3 min
Deep Dive into Tencent Marvis: How a System-Level AI Assistant Redefines Human-Computer Interaction
Deep dive into Tencent Marvis system-level AI assistant, analyzing its local knowledge base, semantic search, privacy mode, and how Agents evolve from tools to OS integration.
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Tutorials·3 min
Stable Diffusion Local Deployment Guide: Run AI Image Generation Free with 8GB RAM
Complete guide to deploying Stable Diffusion locally. Covers hardware requirements, one-click installation, and model setup. Run AI image generation free with 8GB RAM.
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Tutorials·3 min
110 Hands-On Embedded Linux Projects: From Beginner to High-Paying Driver Development
A complete hands-on checklist of 110 embedded Linux projects covering audio/video, Rockchip platforms, smart home, and driver development — with clear learning paths from beginner to high-paying roles.
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Tutorials·3 min
Stable Diffusion Local Deployment Guide: Free and Unlimited AI Image Generation
Complete guide to deploying Stable Diffusion locally, covering hardware requirements, one-click installation, and model management. Free, unlimited, fully offline AI image generation for creators and privacy-conscious users.
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Tutorials
Deep Dive into a 198-Hour Python Zero-…
·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
oMLX + MTP + Qwen3.6: Local AI Coding Speed Breaks New Records
Using oMLX with MTP and Qwen3.6 35B on Apple Silicon Mac to achieve 86.7 tokens/s local coding speed, building a full-stack app in under 5 minutes.
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Expert Opinions
Karpathy's Epic Interview: In the Soft…
·2 min
Karpathy's Epic Interview: In the Software 3.0 Era, Understanding Is Humanity's Only Moat
OpenAI co-founder Karpathy explains the Software 3.0 paradigm revolution at AI Ascent: from Vibe Coding to Agentic Engineering, programming's essence is fundamentally shifting. When AI can refactor 100K-line codebases, understanding becomes humanity's ultimate moat.
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Tutorials
One Month Until CAICP Certification: A…
·2 min
One Month Until CAICP Certification: A Zero-to-Hero Python Sprint Guide
With one month until the CAICP AI certification exam, this guide offers a Python sprint strategy for beginners and C++ developers, covering a 4-week study plan, training options, and fees.
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Tutorials
Review of a 648-Episode Complete Pytho…
·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
O3 vs Gemini 2.5 Pro vs Claude 3.7: Re…
·3 min
O3 vs Gemini 2.5 Pro vs Claude 3.7: Real-World AI Coding Ability Comparison
Real-world comparison of O3, Gemini 2.5 Pro, and Claude 3.7 coding abilities through snake battles, RL training, solar system simulation, and soccer game tasks.
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Industry Insights
Deep Dive into Three Major LLM Career …
·3 min
Deep Dive into Three Major LLM Career Paths: Requirements, Tech Stacks, and Career Prospects
Deep analysis of three core LLM roles—Application Engineer, Development Engineer, and Algorithm Engineer—covering technical requirements, salary thresholds, and career prospects including RAG, fine-tuning, and inference deployment.
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Research
Optimize Anything: One API to Unify Op…
·2 min
Optimize Anything: One API to Unify Optimization of Code, Prompts, and Agent Architectures
UC Berkeley and Stanford propose Optimize Anything, a universal text optimization framework that unifies optimization of CUDA kernels, agent architectures, and prompts through one declarative API.
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Tutorials·2 min
Learning AI Large Language Models from Scratch: A Guide to Learning Paths, Hardware, and Programming Languages
A beginner's guide to learning AI large language models — covering learning paths, hardware requirements, Python essentials, and cloud services for learners at every level.
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Tech Frontiers·2 min
Meta Muse Spark Released: A Comprehensive Analysis of the Native Multimodal Reasoning Model
Meta Superintelligence Labs releases Muse Spark, a native multimodal reasoning model supporting visual chain of thought, tool-use, and multi-agent orchestration. Deep dive into its capabilities and competitive positioning.
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Tutorials
Claude Code Installation & Agent Hands…
·3 min
Claude Code Installation & Agent Hands-On Tutorial: Easy Enough for Non-Developers
Step-by-step Claude Code installation guide with Volcengine GLM5.1 Chinese LLM. Hands-on Agent demos for Bilibili data scraping and ComfyUI setup. No coding required.
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Product Reviews·3 min
Google Jules 2.0 Major Upgrade: Deep Dive into Seven New Features
Google's AI coding assistant Jules exits Beta with environment snapshots, Critic Agent reinforcement learning code review, interactive planning, web preview, web search, and more.
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Tutorials·2 min
Coze Beginner's Guide: A Complete Tutorial for Building AI Agents with Zero Code
A detailed guide to Coze AI development platform's core features including agent building, workflow orchestration, knowledge base setup, and plugins — build custom AI apps with zero code.
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Tutorials·3 min
Getting Started with AI Full-Stack Development: A Knowledge Framework from Machine Learning to Large Language Models
A systematic guide to the relationships between AI, machine learning, deep learning, and large language models, helping developers build a clear knowledge framework and find an efficient learning path.
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Tutorials
Efficient PyTorch Learning: A Source C…
·3 min
Efficient PyTorch Learning: A Source Code-Driven Methodology
A proven PyTorch learning method: spend 2-3 days on basics, then advance rapidly by reading U-Net and ViT source code line by line. Master PyTorch through source code-driven learning.
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Tutorials
LLM Learning Roadmap: A Complete Guide…
·3 min
LLM Learning Roadmap: A Complete Guide from Beginner to Project Implementation Across Seven Core Modules
A systematic breakdown of seven core LLM learning modules covering environment setup, Prompt Engineering, RAG, Agents, dev frameworks, fine-tuning, and hands-on projects for developers.
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