#mathematical optimization
680 related articles
Expert Opinions·2 min
Programmers Who Can Only Call APIs Are Being Made Obsolete by AI Coding Tools
A shopping cart interview exposes programmers' fatal flaw: only knowing framework APIs, not data structures. AI tools now auto-generate CRUD code—first principles thinking is your real moat.
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Deep Dives·2 min
How NVIDIA's Multi-Agent System Automates Financial Signal Discovery
Deep analysis of NVIDIA's multi-agent system for quantitative financial signal discovery, covering architecture design, LLM financial reasoning, and automated backtesting iteration.
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Expert Opinions·2 min
The Endgame of AI Programming: Why It Might Return to Assembly Language
Exploring the ultimate form of AI programming: when AI fully takes over coding, will high-level languages lose their purpose? Analyzing the possibility of AI writing assembly directly.
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Tutorials·2 min
DeepSeek + Cursor + DevBox: Complete Project Development and Deployment with Zero Coding Experience
Learn how DeepSeek + Cursor + DevBox enables zero-code project development from design to deployment, perfect for beginners and non-programmers.
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Tutorials·2 min
Python Machine Learning in Practice: A Complete Guide from Algorithm Derivation to Code Implementation
A systematic Python ML course using a 3-stage framework: algorithm derivation, code implementation, and experimental analysis. Covers logistic regression, decision trees, and ensemble learning.
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Industry Insights·2 min
Enterprise LLM Selection Guide: In-Depth Comparison of Llama 3.1, Qwen 2.5, and DeepSeek
How should enterprises choose open-source LLMs? This guide compares Llama 3.1, Qwen 2.5, DeepSeek, and Mistral across model capabilities, hardware requirements, and business scenarios.
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Tutorials·2 min
DeepSeek R1 Usage Guide: Prompt Techniques & Practical Tips (2025)
A detailed guide to DeepSeek R1's reasoning capabilities and prompt techniques, covering reasoning vs. general models, core capabilities, and practical prompt strategies for 2025.
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Tutorials·1 min
Ningbo Bank AI Agent Interview Questions: Reasoning Optimization + Agent Debugging + Python Key Topics
Deep analysis of real Ningbo Bank AI Agent interview questions covering LLM multi-path reasoning optimization, agent debugging methodology, Python deep/shallow copy, GIL, and decorators.
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Deep Dives·1 min
Harness Engineering Explained: Core Methodology and Implementation Guide for Industrializing AI Agents
Deep dive into Harness Engineering methodology: Agent=Model+Harness formula, the Prompt→Context→Harness evolution path, and a developer implementation guide.
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Product Reviews·1 min
GPT-5.5 Deep Dive: Coding, Automation & Agent Capabilities Tested
Deep dive into GPT-5.5: from chat assistant to autonomous agent. 20-minute coding tasks, end-to-end workflow automation, benchmarks, pricing & safety.
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Product Reviews·1 min
Claude Code G-code Generation in Practice: 3 Projects That Break Through 3D Printing Slicer Limitations
Use Claude Code to generate G-code directly, bypassing slicer limitations to achieve sine wave textures, scale vases, and creative 3D prints with Blender automation.
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Deep Dives·3 min
What Are LLMs, Skills, Agents, and OpenClaude? A Complete Guide to Core AI Concepts
A plain-English guide to LLMs, Skills, AI Agents, and OpenClaude — clarifying how AI evolved from "can talk" to "can act" to "can act autonomously," with a comparison table.
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Tutorials·4 min
Claude Opus 4.5 Tutorial: Real-World Coding Tests + How to Access from China Without a VPN
Hands-on review of Claude Opus 4.5's coding, writing, and data visualization capabilities. Includes two methods for accessing it from China without a VPN, plus real demos of bug fixing and dashboard development.
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Product Reviews·2 min
GPT-5.5 In-Depth Review: Real-World Performance in Coding, Research, and Presentations
In-depth hands-on review of GPT-5.5's real-world performance in coding, data analysis, presentation generation, and visualization — with comparison to o4-mini and best-practice prompting tips.
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Deep Dives·2 min
DeepSeek V3.2 Deep Dive: Three Major Breakthroughs in DSA Sparse Attention, Reinforcement Learning, and Agent Capabilities
Deep analysis of DeepSeek V3.2 and V3.2 Special: DSA sparse attention for faster long-context processing, RL compute at 10% of pre-training, and Agent task synthesis across 1,800 environments.
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Tutorials·3 min
3 Prompting Strategies to Guide AI Toward Original Solutions | With Rocket Thruster Case Study
How to use prompt engineering to make AI break from conventional solutions and create unique paths? This article details three strategies—exclusion, constraint-driven, and multi-round iteration—with a real generative design rocket thruster case.
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Deep Dives·4 min
XANI: How GPU-Accelerated X-Ray Nanoscale Imaging Is Revolutionizing XFEL Data Analysis
Explore how the XANI project uses NVIDIA GPUs to accelerate XFEL data analysis, compressing nanoscale imaging from days to hours and advancing fusion materials and semiconductor research.
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Product Reviews·2 min
One Month of Vibe Coding: Lessons Learned from Building Real Projects with Zero Coding Experience
A creator with zero coding experience spent one month Vibe Coding with OpenAI Codex, completing two real projects. Here are the real pitfalls and three hard-won lessons.
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Tutorials·4 min
NVIDIA Model Optimizer Post-Training Quantization (PTQ) Practical Guide
A deep dive into NVIDIA Model Optimizer's PTQ workflow, covering INT8/INT4 quantization principles, calibration methods, RTX GPU optimization, and best practices for deploying quantized LLMs on consumer GPUs.
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Deep Dives·3 min
AI Model Deployment Pipeline Friction: How TensorRT Systematically Eliminates Inference Optimization Bottlenecks
Deep dive into pipeline friction in AI model deployment from training to production, covering TensorRT automated optimization, ONNX export, and Triton Inference Server best practices.
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