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The only AI glossary you’ll need this year

Natasha Lomas, Romain Dillet, Kyle Wiggers, Lucas Ropek· ·19 min read · 0 reactions · 0 comments · 20 views
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The only AI glossary you’ll need this year
⚡ TL;DR · AI summary

Artificial intelligence is creating a new language to describe its capabilities, and this glossary aims to provide plain-English definitions of common AI terms. The field of AI is constantly evolving, and this glossary is updated regularly to reflect new developments. From AGI to coding agents, the glossary covers a range of topics to help readers understand the latest advancements in AI.

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Original article
TechCrunch · Natasha Lomas, Romain Dillet, Kyle Wiggers, Lucas Ropek
Read full at TechCrunch →
Opening excerpt (first ~120 words) tap to expand

Artificial intelligence is rewriting the world, and simultaneously inventing a whole new language to describe how it’s doing it. Sit in on any product meeting, pitch, or panel these days, and you’ll hear people toss around LLMs, RAG, RLHF, and a dozen other terms that can make even very smart people in the tech world feel a little insecure. This glossary is our attempt to fix that: pain-English definitions of the AI terms you’re most likely to actually run into, whether you’re building with this stuff, investing in it, or just trying to keep up by reading TechCrunch or listening to related podcasts. We update it regularly as the field evolves, so consider it a living document, much like the AI systems it describes. AGI Artificial general intelligence, or AGI, is a nebulous term.

Excerpt limited to ~120 words for fair-use compliance. The full article is at TechCrunch.

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