Latest Artificial Intelligence News

Prompt caching slashes LLM costs up to 90% by reusing repeated prompt prefixes. Compare Anthropic, OpenAI, and Gemini caching with code examples.

Temperature, top-p, top-k, and min-p control how LLMs sample text. Learn what each does, when to use which, and provider defaults for 2026.

Function calling and tool use are the same concept under different names. Learn how LLMs invoke external tools, with examples from OpenAI, Anthropic, and Google.

JSON mode guarantees valid JSON. Structured Outputs guarantees the right shape. Here's the difference and when to use each in 2026.

AI subagents are specialized agents spawned by a main agent to do isolated work in parallel. How they work, real products, patterns, costs, and best practices.

Claude Code is Anthropic's terminal-first agentic coding tool. Features, pricing, and how it compares to Cursor, Copilot, Aider, and Devin.

GEO is the practice of optimizing content to be cited by AI engines like ChatGPT and Perplexity. How it works, tactics, and how it differs from SEO.

Vibe coding is AI-first programming coined by Andrej Karpathy in 2025. What it means, tools, risks, and when it works versus when it breaks.

MCP (Model Context Protocol) is Anthropic's open standard for connecting AI models to tools and data. Architecture, examples, and why it matters.

60 years of chatbot history: from ELIZA's pattern matching to ChatGPT's 100M users. How modern conversational AI works, and what's still broken.

What AI alignment means, the evidence on failures like reward hacking, the main techniques from RLHF to interpretability, and where researchers disagree.

Fine-tuning LLMs explained: what LoRA, QLoRA, SFT, and DPO change, when to fine-tune instead of using RAG, data needs, memory math, and failure modes.