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Parth Arora · @heyparth

Llm Concepts Explained

From linkedin.com/in/the-parth-arora

Learn them once. Then read the next launch yourself and decide if it actually matters for your startup.

I created the first “LLM Minis” series to give founders a quick‑reference cheat‑sheet for the six technical terms that dominate most AI model launch announcements.

  • The six core concepts are:

Example headline that bundles these terms: “1M context. 501B MoE. Quantized.”

I decided to keep the educational effort concise—just six recurring terms—so founders can instantly gauge whether a new model release matters for their startup without drowning in LLM internals.

Decision: Deliver each concept on a single slide to keep the material digestible and easy to reference when new model specs appear.

Future additions can expand the series as new shorthand terms emerge in the field.

  1. Tokens
  2. Context window
  3. Retrieval‑augmented generation (RAG)
  4. Quantization
  5. Mixture of Experts (MoE)
  6. AI agents.