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AI JARGON DECODED: YOUR GUIDE TO KEY TERMS

AI DESK1 MIN READ
SUN, APR 12, 2026

■ AI-SUMMARIZED FROM 1 SOURCE ▸ TIMELINE

As artificial intelligence becomes mainstream, understanding its vocabulary is essential. A new glossary breaks down critical AI terminology for everyday readers.

The rapid expansion of AI technology has introduced a wave of specialized language that can confuse newcomers. Key terms like LLMs (Large Language Models)—the foundation of tools like ChatGPT—describe AI systems trained on vast amounts of text data. Hallucinations refer to instances where AI systems generate plausible-sounding but factually incorrect information. This remains a significant challenge in current models. Other essential terms include: - Tokens: Units of text processed by language models - Fine-tuning: Customizing pre-trained models for specific tasks - Prompts: Instructions users provide to AI systems - Neural networks: The computational architecture mimicking brain functions Understanding these definitions helps users interact more effectively with AI tools and grasp their capabilities and limitations. As AI integration accelerates across industries, literacy in these concepts becomes increasingly valuable for both professionals and general audiences.

■ SOURCES

TechCrunch

■ SUMMARY WRITTEN BY AI FROM THE LINKS ABOVE

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