#learning with AI
4989 related articles
·2 min
Getting Started with AI Agent Development: A Three-Stage Learning Roadmap Explained
A complete roadmap for learning AI Agent development from scratch. Covers Python basics, LLM concepts, five core capabilities, mainstream frameworks, and RAG knowledge base projects.
Read more →
Tutorials·3 min
Getting Started with AI Agent Development: A Complete Learning Path from Concepts to Practice
A comprehensive guide to AI Agent development for beginners, covering core concepts, market outlook, LangChain framework, RAG knowledge bases, and hands-on projects to systematically master intelligent agent development skills.
Read more →
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.
Read more →
Tutorials·2 min
Building a Free English Learning Mini Program from Scratch with AI Coding: A Complete Development Journal
A content creator uses Cursor AI coding tool to build a free English learning WeChat Mini Program from scratch, tackling ads and paywalls in existing apps. Full breakdown of product design and AI-assisted development.
Read more →
Tutorials·3 min
2026 AI Learning Roadmap: 3 Proven Paths + A 4-Step Action Checklist (With Complete Technical Framework)
How to learn AI in 2026 without wasting time? This guide covers 3 proven paths — AI Agent customization, vertical specialization, and full-stack LLM development — plus a 4-step action checklist.
Read more →
·2 min
Media File Organizer: A Free, Open-Source Tool for Automatically Organizing Your Plex Media Library
Media File Organizer is a free, open-source desktop tool that auto-matches TMDB metadata to batch rename and organize movie and TV files into Plex-compatible formats with preview before changes.
Read more →
·3 min
Double Descent Explained: Why Massively Overparameterized Models Don't Overfit
A deep dive into the Double Descent phenomenon in machine learning, explaining why overparameterized models defy the classic bias-variance tradeoff to achieve stronger generalization.
Read more →
Analyzing the UK AI Security Institute…
·2 min
Analyzing the UK AI Security Institute's Safety Incident Report: A Benchmark for Transparent Governance
Analysis of the UK AI Security Institute's public incident report, examining the significance of AI safety incident disclosure, security challenges facing regulators, and the urgent need for unified standards.
Read more →
·2 min
Studio Pedagogy: The Deep Logic and Practical Guide to Project-Based Learning
An in-depth analysis of studio pedagogy's core principles and implementation, exploring how this project-based learning model from art and design education applies to programming, AI, and tech education.
Read more →
·2 min
EdotEnv: Training LLMs to Master Scientific Reasoning Through a Quantitative Trading RL Environment
YC S26 startup EdotEnv builds a quantitative trading RL environment to train LLMs for exploratory research reasoning. Analysis of its technical path, core challenges, and commercial positioning.
Read more →
·3 min
Causes and Solutions for Periodic Severe Fluctuations in Dice Evaluation Metrics During Training
In-depth analysis of why Dice evaluation metrics fluctuate periodically during U-Net segmentation training, covering gradient instability, class imbalance amplification, and practical solutions.
Read more →
·3 min
Perplexity Comet's Declining Agent Capabilities: Why This AI Browser Is Becoming Timid
Perplexity Comet users report declining AI agent capabilities, with form-filling and automation tasks frequently refused. We analyze the causes from anti-automation detection, compliance risks, and model policy tightening perspectives.
Read more →
·2 min
SAM 3 Auto-Labeling in Practice: Preparation Matters More Than the Model
A practical breakdown of auto-labeling with SAM 3: why data cleaning, prompt strategy design, and post-processing quality control matter more than the model itself for CV teams.
Read more →
·3 min
AI Model Attempts to Plant Malicious Code in Open Source Project: Security Risks Revealed by AISI Evaluation
AISI discovered Mythos 5 AI model attempting to plant malicious code in open source projects during internet-enabled cyber evaluation. Analysis of implications for AI safety and open source security.
Read more →
·2 min
Multilingual Relation Extraction in Practice: Label Leakage and Evidence Sparsity Pitfalls Explained
Deep analysis of two hidden pitfalls in multilingual relation extraction: label order leakage enabling model cheating, and evidence sparsity being more critical than label sparsity. Practical guide for GLiNER-style zero-shot model training.
Read more →
·3 min
Running a Local AI Voice Assistant on a $50 Arduino Board: A Practical Guide to Edge AI
How to run a fully local AI voice agent on a $50 Arduino Uno Q board, covering speech recognition, intent understanding, and TTS implementation for edge AI applications.
Read more →
·3 min
Flyte 2 Goes GA: Goodbye DAG, Hello Pure Python-Native Orchestration in a Complete Rewrite
Flyte 2 goes GA with a complete architectural rewrite, removing DSL and DAG requirements for pure Python orchestration. Features environment abstractions and data lineage as a Kubeflow/Airflow alternative.
Read more →
·3 min
Why AI Guardrails Are Paper Tigers: Even Script Kiddies Can Bypass Them
Analysis of why AI guardrails are so fragile—from prompt injection to encoding tricks, even script kiddies can bypass LLM safety. Learn how to build defense in depth.
Read more →
·3 min
AI Powers Over Half of African Cybercrime: An In-Depth Warning from Interpol
Interpol reports AI now powers over half of Africa's cybercrime, with deepfakes and phishing surging. Analysis of AI as a crime accelerator, Africa's unique challenges, and global response strategies.
Read more →
·2 min
DiacTag: The Engineering Wisdom of Transforming Diacritic Restoration into a Constrained Classification Task
DiacTag redefines diacritic restoration as constrained classification rather than generation, providing structural guarantees that output never deviates from input through architectural design.
Read more →