Anthropic is an American AI safety company founded in 2021 by former OpenAI researchers Dario and Daniela Amodei. It develops the Claude family of models and pioneered Constitutional AI and Responsible Scaling Policy. Here's an overview of its origins, products, and philosophy.

Claude is a family of large language models developed by Anthropic, featuring the Opus, Sonnet, and Haiku tiers. Learn its pronunciation, how Constitutional AI shapes its behavior, differences from ChatGPT and Gemini, pricing, and practical use cases.

Function calling lets an LLM invoke external functions and APIs in a structured way. This guide covers pronunciation, architecture, differences between OpenAI, Anthropic, and Gemini, and production implementation patterns.

Agentic AI is a class of AI systems that plan and act autonomously to achieve goals. This guide explains pronunciation, architecture, differences from chatbots, and real-world use cases in 2026.

Prompt engineering is the strategic design and optimization of inputs to AI language models for superior outputs. Learn zero-shot, few-shot, chain-of-thought, and advanced techniques with practical examples.

Learn what Large Language Models (LLMs) are, how they work, examples, advantages, and real-world applications.

RAG (Retrieval-Augmented Generation) combines external knowledge bases with LLMs to eliminate hallucinations and overcome knowledge cutoff limitations. Essential for enterprise AI in 2026.

MCP is an open standard for integrating AI models with external tools and data sources. Developed by Anthropic in November 2024, it solves the N×M integration problem.