These are the 7 most vital AI terms beginners (and even power users) should know, from large language models to tokens

Here are the 7 most vital AI terms that beginners and power users should understand:

1. Large Language Model (LLM): An LLM is an AI system trained on vast amounts of data, including books, articles, and research papers. It understands and generates human language patterns. For example, an LLM helps ChatGPT write a birthday message.

2. Generative AI: This type of AI creates original content like text, images, or videos based on user prompts. It's used to generate new content rather than just retrieving existing information.

3. Machine Learning (ML): ML is a method that allows computers to learn from data and make predictions without being explicitly programmed. It's similar to how Netflix suggests shows based on your viewing history.

4. Neural Network: A neural network is a computer system that mimics the human brain's interconnected nodes. It helps AI recognize patterns, enabling it to understand complex concepts like images or speech.

5. Hallucinations: AI can make mistakes and produce incorrect or made-up information. This is called hallucination. Always verify AI-generated facts, especially if they are about medical, financial, or legal matters.

6. Prompt Engineering: Prompt engineering involves crafting detailed instructions to help an AI tool produce better results. By refining a prompt, you can guide the AI to understand your needs more accurately.

7. Tokens: Tokens are small units of text that AI models process when reading and generating language. They can be single words, word parts, punctuation marks, or even periods. Some AI models have limits on the number of tokens they can process in a conversation.