Generative AI & LLMsClaude 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.
Machine Learning & Deep LearningTransformer is the neural network architecture that powers modern generative AI, including ChatGPT and Claude. This guide explains pronunciation, the attention mechanism, differences from RNN and CNN, leading models (BERT, GPT, LLaMA), and hands-on Python examples.
Natural Language Processing (NLP)Embeddings convert text, images, and other data into fixed-length numeric vectors that preserve semantic meaning. This guide covers pronunciation, the math behind vector spaces, model comparison (OpenAI, Cohere, Voyage), Python examples, and production usage in semantic search and RAG.
Generative AI & LLMsFunction 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.
Generative AI & LLMsAgentic 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.
Generative AI & LLMsPrompt 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.
Generative AI & LLMsMCP 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.
Generative AI & LLMsLearn what Large Language Models (LLMs) are, how they work, examples, advantages, and real-world applications.
Generative AI & LLMsRAG (Retrieval-Augmented Generation) combines external knowledge bases with LLMs to eliminate hallucinations and overcome knowledge cutoff limitations. Essential for enterprise AI in 2026.
Generative AI & LLMsMCP 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.
