<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>Artinex — Editorial Articles</title><link>https://artinexv12.vercel.app</link><description>Artinex tracks the world of artificial intelligence through sourced headlines, accessible explainers, research, models and tools.</description><item><title>How large language models actually work</title><link>https://artinexv12.vercel.app/articles/how-large-language-models-work</link><guid>https://artinexv12.vercel.app/articles/how-large-language-models-work</guid><pubDate>Thu, 08 Oct 2026 12:00:00 GMT</pubDate><description>A practical introduction to LLMs: what they learn, why they predict tokens and where they fail.</description></item><item><title>AI agents: beyond the chatbot interface</title><link>https://artinexv12.vercel.app/articles/building-reliable-ai-agents</link><guid>https://artinexv12.vercel.app/articles/building-reliable-ai-agents</guid><pubDate>Thu, 08 Oct 2026 12:00:00 GMT</pubDate><description>Learn how agents use tools and memory, why orchestration matters and where human approval belongs.</description></item><item><title>How to read an AI research paper critically</title><link>https://artinexv12.vercel.app/articles/reading-an-ai-research-paper</link><guid>https://artinexv12.vercel.app/articles/reading-an-ai-research-paper</guid><pubDate>Thu, 08 Oct 2026 12:00:00 GMT</pubDate><description>Avoid paper hype: inspect the question, baselines, evaluation setup and limitations before trusting a result.</description></item><item><title>Computer vision: from pixels to predictions</title><link>https://artinexv12.vercel.app/articles/computer-vision-explained</link><guid>https://artinexv12.vercel.app/articles/computer-vision-explained</guid><pubDate>Thu, 08 Oct 2026 12:00:00 GMT</pubDate><description>Understand the main computer-vision tasks, typical model families and how to evaluate real-world performance.</description></item><item><title>Text-to-image AI: what Midjourney illustrates</title><link>https://artinexv12.vercel.app/articles/midjourney-and-text-to-image-ai</link><guid>https://artinexv12.vercel.app/articles/midjourney-and-text-to-image-ai</guid><pubDate>Thu, 08 Oct 2026 12:00:00 GMT</pubDate><description>A practical look at image synthesis, creative iteration and the need to check usage rights.</description></item><item><title>AI in drug discovery: promise and boundaries</title><link>https://artinexv12.vercel.app/articles/ai-in-drug-discovery</link><guid>https://artinexv12.vercel.app/articles/ai-in-drug-discovery</guid><pubDate>Thu, 08 Oct 2026 12:00:00 GMT</pubDate><description>Explore target discovery, molecule screening and the scientific limits of AI-assisted pharmaceutical research.</description></item><item><title>Understanding text-to-video generation</title><link>https://artinexv12.vercel.app/articles/understanding-text-to-video-generation</link><guid>https://artinexv12.vercel.app/articles/understanding-text-to-video-generation</guid><pubDate>Thu, 08 Oct 2026 12:00:00 GMT</pubDate><description>A primer on video synthesis, temporal consistency and responsible media provenance.</description></item><item><title>AI copilots at work: a practical evaluation guide</title><link>https://artinexv12.vercel.app/articles/ai-copilots-at-work</link><guid>https://artinexv12.vercel.app/articles/ai-copilots-at-work</guid><pubDate>Thu, 08 Oct 2026 12:00:00 GMT</pubDate><description>How teams can evaluate coding and productivity copilots without relying on marketing claims.</description></item><item><title>RAG vs fine-tuning: choosing the right approach</title><link>https://artinexv12.vercel.app/articles/rag-vs-fine-tuning</link><guid>https://artinexv12.vercel.app/articles/rag-vs-fine-tuning</guid><pubDate>Thu, 08 Oct 2026 12:00:00 GMT</pubDate><description>When should an AI product retrieve documents, fine-tune a model, or simply improve its prompt?</description></item><item><title>AI infrastructure: GPUs, memory and inference cost</title><link>https://artinexv12.vercel.app/articles/ai-hardware-and-infrastructure</link><guid>https://artinexv12.vercel.app/articles/ai-hardware-and-infrastructure</guid><pubDate>Thu, 08 Oct 2026 12:00:00 GMT</pubDate><description>A practical overview of accelerators, bandwidth, batching and the trade-offs of AI infrastructure.</description></item><item><title>Building safer AI products: a developer checklist</title><link>https://artinexv12.vercel.app/articles/ai-safety-for-everyday-products</link><guid>https://artinexv12.vercel.app/articles/ai-safety-for-everyday-products</guid><pubDate>Thu, 08 Oct 2026 12:00:00 GMT</pubDate><description>Practical controls for applications using external models, user prompts and connected tools.</description></item><item><title>A realistic roadmap to start learning AI</title><link>https://artinexv12.vercel.app/articles/starting-a-career-in-ai</link><guid>https://artinexv12.vercel.app/articles/starting-a-career-in-ai</guid><pubDate>Thu, 08 Oct 2026 12:00:00 GMT</pubDate><description>Move from Python and linear algebra to practical ML, PyTorch and a credible portfolio.</description></item></channel></rss>