Pretraining
In one line
Pretraining is the initial stage where an LLM is trained on huge amounts of text to learn general language capability — the step where the model absorbs most of its 'world knowledge'.
Going deeper
Pretraining is step one in building an LLM. The model is trained on huge piles of text — web pages, books, code, dialogue — with a simple objective: predict the next token. Along the way it picks up grammar, factual knowledge and reasoning patterns. Most of what 'ChatGPT knows' was learned here.
The brand-side implication is that being represented in pretraining data is roughly equivalent to being known by the model. Sources that get scraped repeatedly — Wikipedia, major press, review sites, GitHub — are where you want accurate information about your brand to live.
Pretraining is the most expensive stage by far, taking months and tens of millions of dollars. That is why later stages like fine-tuning and RLHF are what most teams actually touch.
Related terms
LLM
A large language model (LLM) is a neural network trained on massive text corpora to understand and generate human language — the engine behind ChatGPT, Claude, Gemini and similar products.
LLMFine-tuning
Fine-tuning takes an already pretrained LLM and trains it further on a narrower dataset to specialise it for a domain, task or voice — the most common path for adapting an LLM to your own data.
LLMRLHF
RLHF (Reinforcement Learning from Human Feedback) trains an LLM using human preference signals so it produces more helpful, safer responses — the recipe behind the leap in ChatGPT-style quality.
LLMTransformer
The Transformer is the neural network architecture behind almost every modern LLM, using self-attention to weigh relationships between all tokens in a sequence in parallel.
LLMAI Alignment
AI alignment is the field — and the practical work — of making AI systems behave in line with human intent, values and safety constraints.
How does your brand show up in AI answers?
Villion measures how your brand appears across ChatGPT, Perplexity and AI Overviews, then automates the work that lifts citation rate and share of voice.
Get a free audit