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AI coding jargon, explained in plain English

This article introduces an online dictionary that demystifies AI coding jargon in plain English, helping developers understand key terms like model, inference, context window, and more to improve their use of AI tools.

SourceHacker News AIAuthor: saikatsg
AI coding jargon, explained in plain English
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Under the source content permission, this page provides an editorial summary, key points, and a link to the original article.

Key points and analysis

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Key points

  • AI is a moving label that shifts with technology, currently referring to large language models.
  • A model is a stateless set of parameters for next-token prediction; agentic behavior comes from a harness.
  • Training is a one-time process by providers; parameters are frozen and cannot be changed by users.
  • Inference is the per-request cost, scaling with token usage.

Highlights and analysis are generated automatically and may contain errors. Check the original source.

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