What is a Large Language Model (LLM)?

A Large Language Model (LLM) is an AI model trained on vast amounts of text that can understand and generate human-like language. Examples include GPT-4, Claude, Gemini, and Llama.

What is the difference between AI and Machine Learning?

Artificial Intelligence (AI) is the broad field of creating intelligent machines. Machine Learning (ML) is a subset of AI where systems learn patterns from data without being explicitly programmed. ML is the foundation of most modern AI applications.

What is prompt engineering?

Prompt engineering is the art of crafting inputs to get better outputs from AI models. It includes techniques like few-shot prompting, chain-of-thought reasoning, and role-playing to improve AI responses.

AGI (Artificial General Intelligence) is hypothetical AI with human-level intelligence across all domains. Unlike current AI which excels at specific tasks, AGI could learn any intellectual task a human can. It currently doesn't exist.

RAG (Retrieval-Augmented Generation) combines a language model with a search system. The model retrieves relevant documents before generating a response, which reduces hallucinations and provides more accurate, up-to-date information.

What is fine-tuning an AI model?

Fine-tuning is additional training of a pre-trained model on specific data to specialize it for a particular task or domain. For example, fine-tuning GPT on medical texts to create a specialized healthcare AI.

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