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Re: janice shell post# 581435

Friday, 05/08/2026 6:48:06 PM

Friday, May 08, 2026 6:48:06 PM

Post# of 582314
What word would you use to describe how they get to what they can do,

"Based on the mathermatical probablility on what should come next based on the training they've been given.
P - No. They aren't given any "training". Everything they do is based on mathematical probability. Their world is a world of zeros and ones, and only that. They do learn how to translate that into what we consider to be language.
"

maybe conditioned, developed... but i have seen trained, training etc used repeatedly. For one:

How Large Language Models Are Trained (And How They “Think”) — A Beginner-Friendly Guide

Natarajan C K
Nov 22, 2025

Large Language Models (LLMs) like ChatGPT, Gemini, and Claude are everywhere now. They answer questions, write emails, help with coding, and even carry conversations like humans.

But how do these models learn?
How do they “think”?
And what’s the difference between an LLM, an AI model, and an AI agent?

Let’s break it down in the simplest way possible — with analogies, visuals, and real-world examples.

🧩 What Are Large Language Models (LLMs)?

Think of an LLM as a supercharged text-prediction machine.
You give it a sentence, and it predicts the next words based on patterns learned from billions of examples.

🧠 Example:
You type:

“Roses are red, violets are…”

It guesses:

“…blue.”
Not because it knows poetry — but because it has seen this pattern thousands of times.

🏗️ How LLMs Are Trained (In Simple Terms)

Training an LLM is like teaching a child a language, but at planet-scale speed.

The Training Process (Beginner Version)

1. Feed the model huge amounts of text (books, websites, articles).

2. The model tries to predict the next word in a sentence.

3. If it’s wrong, it adjusts itself slightly.

4. Repeat this trillions of times.

5. Eventually, it learns grammar, facts, logic patterns, coding structures, and even styles.

🧠 A Real-Life Analogy: Teaching by Immersion

Imagine raising a child in a massive library 📚.
The child reads every book, article, and conversation.
Every time the child predicts the next sentence incorrectly, you gently correct them.

After millions of corrections, the child learns:

Language patterns

Create an account to read the full story.

https://medium.com/@natarajanck2/how-large-language-models-llms-work-training-thinking-and-parameters-explained-simply-caa1a95ef06c

This is the first of the search list which included the above:

AI Overview

Yes, "training" accurately describes the development of Large Language Models
(LLMs) like Gemini, though it is the initial phase of a more complex process.

The development of modern LLMs involves multiple stages. "Training" refers to the extensive
computational process of teaching a neural network to predict the next word.

Here is why "training" is used, and the other steps involved:
https://www.google.com/search?client=firefox-b-d&q=is+training+the+right+word+for+ho+llms+like+gemini+are+developed+

An earlier enquiry:

AI Overview Gemini is a family of multimodal large language models (LLMs).It is a type of generative AI. It is trained on large amounts of data to understand and generate human-like text, code, images, and audio.
https://www.google.com/search?client=firefox-b-d&q=no+Gemini+is+not+a+llm

It was Plato who said, “He, O men, is the wisest, who like Socrates, knows that his wisdom is in truth worth nothing”

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