AI & LLM Terminology Glossary: From Tokens to Orchestration
Article summary
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Every field accumulates jargon, and AI/LLM engineering has accumulated it faster than most — partly because the field is young, and partly because terms get reused across research papers, vendor marketing, and production engineering with slightly different meanings each time. This is the reference I wish existed when I started building AI infrastructure: one place with the terms that actually come up in day-to-day work, grouped by where you'll encounter them, explained at the level a backend…
1Key Takeaways
- Every field accumulates jargon, and AI/LLM engineering has accumulated it faster than most — partly because the field is young, and partly because terms get reused across research papers, vendor marketing, and production engineering with slightly different meanings each time.
- This is the reference I wish existed when I started building AI infrastructure: one place with the terms that actually come up in day-to-day work, grouped by where you'll encounter them, explained at the level a backend….
2AIWedia Score
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — ML reports that every field accumulates jargon, and AI/LLM engineering has accumulated it faster than most — partly because the field is young, and partly because terms get reused across research papers, vendor marketing, and production engineering with slightly different meanings each time.
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