LLM Training

LLM training refers to the process of building or improving a large language model by optimizing its parameters on large text and, optionally, multimodal datasets. It includes dataset selection and preparation, objective definition, running pretraining and fine-tuning (e.g., supervised fine-tuning), and iterative evaluation. Additional steps such as alignmen…

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Content type

Concept

Theoretical construct: explains a term, principle, or mental model.

Classification level

Structure

What organizes, connects, or makes decisions possible.

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In brief

LLM training in brief

LLM training is the process of adjusting a language model’s parameters from text or dialogue data so it learns linguistic patterns and task-specific behavior.

Where does it come from?

The lineage runs from statistical language models through deep learning to large-scale pretraining and subsequent fine-tuning. It addresses a practical problem: without suitable data, objectives, and evaluation, a general model cannot be specialized reliably or deployed safely.

The mental model

Picture training as a repeated correction loop: the model makes a prediction, compares it with a training signal, and changes internal weights. Data quality, objective, and evaluation together shape what it can and cannot do.

Key building blocks

Pretraining

General language patterns are learned from large corpora before specialization.

Fine-tuning

A pretrained model is further adapted with task-relevant examples.

When is it useful?

LLM training explains how data, compute, model scale, and evaluation design shape model capabilities and limits. It supports a realistic reading of model behavior.

Large language model — Wikipedia Deep Learning (Buch) – Goodfellow et al.

Why is this building block relevant?

Process of training large language models by optimizing model parameters on large datasets toward defined learning objectives.

Position in the model

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No structure path available.

Knowledge network

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External references

These sources establish the term and its professional meaning.

Large Language Model — Wikipedia (EN)Deep Learning — Goodfellow, Bengio, Courville arXiv — Language Model Training & Fine-Tuning (Search)

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Process · Enables

(1)

Pre-Trained Model

Concept

Structure · Contains

(1)

Model Training

Concept

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Enterprise

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