Glossary of Key Terms in Artificial Intelligence Explained

Apr 12, 2026

AI Summary

A glossary has been compiled to clarify important terms in the field of artificial intelligence, which often relies on complex jargon. This resource will be updated regularly to reflect new developments and safety considerations in AI research.

Artificial intelligence terminology can be complex, necessitating a glossary for better understanding.
Key terms include Artificial General Intelligence (AGI), AI agents, chain-of-thought reasoning, compute, deep learning, diffusion, distillation, fine-tuning, Generative Adversarial Networks (GANs), hallucination, inference, large language models (LLMs), memory cache, neural networks, RAMageddon, and training.
AGI refers to AI systems that can outperform humans in many tasks, while AI agents perform complex tasks autonomously.
Chain-of-thought reasoning improves problem-solving by breaking down tasks into smaller steps.
Compute refers to the computational power necessary for AI models, and deep learning involves multi-layered neural networks that learn from data.
Diffusion and distillation are techniques used in AI model training and optimization.
Hallucination describes instances where AI generates incorrect information, raising concerns about reliability.
Inference is the process of making predictions based on trained models, and memory cache optimizes this process.
The term RAMageddon highlights the shortage of RAM chips impacting various tech industries due to high demand from AI companies.
Training is essential for machine learning AIs to learn from data and improve their outputs.

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Glossary of Key Terms in Artificial Intelligence Explained

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