#machine learning project structure
1266 related articles
·3 min
OpenAI Codex Deep Dive: Core Capabilities and Engineering Best Practices Guide
Deep dive into OpenAI Codex's core capabilities including multi-task parallelism, Agent Loop mechanism, and Specification-Driven Development (SDD), with learning resources and advanced paths for mastering AI programming workflows.
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·4 min
Harness Engineering: A New Software Development Paradigm Where Humans Steer and AI Agents Execute
OpenAI engineer Ryan Lopopolo introduces Harness Engineering — a methodology where humans build constraint systems and AI agents handle all code implementation.
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·2 min
AI Coding Far Outpaces Biology: Infrastructure Determines How Fast AI Gets Deployed
Why is AI racing ahead in coding but struggling in biology? This article analyzes the structural infrastructure gap and explores how to build Agent-friendly scientific data platforms.
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·3 min
Pangu Skill: An Open-Source Project That Distills 18 Business Leaders into Callable AI Protocols
Pangu.skill is an open-source project that distills 18 top business leaders' cognitive patterns into callable AI protocols, enabling 24/7 decision analysis.
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·2 min
Building a Weather Data Visualization & Prediction System with Cursor in 40 Seconds
Learn how Cursor AI built a weather data visualization & prediction system in 44 seconds, covering frontend-backend architecture, prompt engineering, and tips for graduation projects.
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·3 min
Erste Group's AI Transformation in Practice: How a European Bank Balances Compliance and Innovation
Erste Group's CPO shares real-world AI transformation lessons: connecting customer data from day one, dual-track strategy, serving the neglected 80%, and rapid iteration under European banking regulations.
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·2 min
Claude Opus 4.7 Conquers NMR Spectroscopy Analysis: A General-Purpose AI Rivaling Specialized Chemistry Software
Anthropic's latest research shows Claude Opus 4.7 matches or surpasses dedicated NMR spectroscopy software. Explore the technical significance, drug discovery implications, and future of AI science tools.
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·4 min
Agent Beginner's Guide: Architecture Principles and Practical Efficiency Tips
A deep dive into AI Agent principles, core architecture, and practical applications. Learn how Agents differ from LLMs and how to leverage Agent Skills to boost productivity.
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·3 min
Google CEO Admits Gemini Lags in Coding: Lacking an Entry Point Is Just the Surface — What's the Real Problem?
Google CEO Pichai admits Gemini lags behind Cursor and Claude Code in AI coding, blaming lack of product entry points. But the real issues are failed product experience, lost developer trust, and ecosystem advantages that haven't converted to competitiveness.
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·2 min
Three Key Narrative Threads Behind Siri's Reboot
Apple's Siri is undergoing its biggest reboot ever. Tim Cook sets AI strategy, Craig Federighi leads integration, and Mike Rockwell rebuilds Siri from the ground up.
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·2 min
Claude Code Goes Viral: Opportunity or Crisis for Programmers?
In-depth analysis of Claude Code's impact on programmers: efficiency gains, junior role disruption, hidden AI code bugs, and skill degradation risks. With practical advice for developers.
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v0 Snowflake Integration Enters Public Preview: Generate Data Dashboards with Natural Language
Vercel's v0 announces public preview of Snowflake integration, enabling users to connect data sources and auto-generate professional dashboards using natural language prompts.
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·2 min
AI Coding Deployment Guide: A Complete Hands-On Workflow from Local Demo to Live Website
Most AI Coding tutorials stop at local demos. This guide walks through 8 key steps to deploy an AI-powered 3D figurine website from Codex coding to live server deployment.
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·4 min
Anthropic's Official Breakdown: Three Core Components for Building AI Agents
Anthropic Developer Conference deep dive into three core AI Agent architectures: Build (code execution), Connect (Web Search & MCP), and Optimize, with live demos and multi-tool collaboration examples.
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·4 min
The 8 Core Modules of Prompt Engineering: A Complete Guide from Fundamentals to Advanced Techniques
A systematic breakdown of the 8 core modules of prompt engineering, covering fundamentals, CoT, Few-shot, prompt security, and real-world AI applications.
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·3 min
Claude Code + Codex Cross-Validation: Dramatically Reducing AI Coding Bug Rates
Learn how to combine Claude Code and Codex in a cross-validation workflow — a develop-review-fix loop that dramatically reduces AI coding bug rates.
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·3 min
Prompt Template Design for Document Summarization: A Practical Guide to Three-Layer Progressive Prompt Engineering
A practical guide to three-layer progressive Prompt template design for document summarization, covering requirements analysis, architecture design, validation, and optimization — boosting information extraction completeness from 78% to 91%.
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Andrew Ng's AI Prompting Guide: Four Key Gaps Between Beginners and Experts
Andrew Ng's AI prompting methodology reveals four core gaps between beginners and experts: deep thinking, sufficient context, neutral questioning, and iterative writing. Applicable to ChatGPT, Claude, Gemini, and all major AI tools.
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·2 min
Andrew Ng Partners with Google to Launch Gemini CLI Course: A Practical Guide to AI-Powered Coding
Andrew Ng partners with Google on a Gemini CLI course covering installation, MCP protocol integration, automated workflows, and agentic coding best practices for AI-assisted development.
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·3 min
Claude AI Tips: 16 Practical Methods from Beginner to Advanced
A systematic guide to 16 core Claude AI tips covering basic setup, connectors, Artifacts app development, voice mode, automation, and Claude Code programming to unlock Claude's full productivity potential.
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