Understanding the key concepts in the field of artificial intelligence is critical to keeping up with this rapidly evolving technology. This glossary provides a valuable resource for beginners and professionals alike, explaining terms commonly encountered in the world of AI.

Examples from the content:

Large Language Models (LLM): Deep learning-based artificial intelligence models trained on large datasets that can understand, produce and process natural language. These models are used in many language processing tasks such as text completion, translation, summarization and dialog.
Prompt Engineering: The process of optimizing inputs (prompts) to get the desired output from AI models. This technique involves strategic word choices and configurations to enable the model to produce more accurate, consistent and efficient responses.
Hallucination: When AI models, especially language models, produce unrealistic or misleading information. This can cause the model to produce inaccurate or misleading answers that are incompatible with the training data.

This comprehensive resource contains more than 40 key terms to help you understand, use and discuss AI technologies.