Alan is an experienced culture, commerce, and tech author with a background in newspaper reporting. His work has appeared in Rolling Stone, Paste Magazine, The Escapist, ESPN, PC Gamer, and a ...
As AI reshapes industries and global conversations intensify, here's a simple guide to key AI terms including LLMs, generative AI, guardrails, algorithms, AI bias, hallucinations, prompts and tokens.
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How LLMs work, put simply

Artificial Intelligence is a useful and misleading term for the powerful and sometimes convincing text generators swarming the internet. The technical reality is abstruse, to say the least. Osman ...
Artificial intelligence (AI) agents, particularly those based on large language models (LLMs) like the conversational platform ChatGPT, are now widely used daily by numerous people worldwide. LLMs can ...
Perhaps no profession has stricter ethical standards than medicine, and ethics is considered essential in the education of any respected medical school. A new essay by researchers at Hiroshima ...
The development of large language models (LLMs) is entering a pivotal phase with the emergence of diffusion-based architectures. These models, spearheaded by Inception Labs through its new Mercury ...
Retrieval-augmented generation, or RAG, integrates external data sources to reduce hallucinations and improve the response accuracy of large language models. Retrieval-augmented generation (RAG) is a ...
LLMS.txt has been compared to as a Robots.txt for large language models but that’s 100% incorrect. The main purpose of a robots.txt is to control how bots crawl a website. The proposal for LLMs.txt is ...
As AI continues to transform, so too does the experience of the people it serves. Research by McKinsey shows that in 2025, 62% of organizations are at least experimenting with AI agents, whilst almost ...