Uploaded December 2025 | Updated September 2026, 1 hour ago
Day 7/42: What Is Pre-Training?
Yesterday, we met parameters.
Today, we explain how they stop being random.
Pre-training is the long study phase of an LLM.
The model reads massive amounts of text and plays one game only:
“Predict the next token.”
Every mistake slightly adjusts the parameters.
Trillions of tiny corrections later, patterns stick.
Grammar emerges.
Facts appear.
Reasoning *seems* to happen.
Missed Day 6? Start there.
Tomorrow, we’ll see why a trained model still isn’t very helpful: base vs instruct models.
I’m Louis-François, PhD dropout, now CTO & co-founder at Towards AI. Follow me for tomorrow’s no-BS AI roundup 🚀
#PreTraining #LLM #AIExplained #short
Day 7/42: What Is Pre-Training?
Yesterday, we met parameters.
Today, we explain how they stop being random.
Pre-training is the long study phase of an LLM.
The model reads massive amounts of text and plays one game only:
“Predict the next token.”
Every mistake slightly adjusts the parameters.
Trillions of tiny corrections later, patterns stick.
Grammar emerges.
Facts appear.
Reasoning *seems* to happen.
Missed Day 6? Start there.
Tomorrow, we’ll see why a trained model still isn’t very helpful: base vs instruct models.
I’m Louis-François, PhD dropout, now CTO & co-founder at Towards AI. Follow me for tomorrow’s no-BS AI roundup 🚀
#PreTraining #LLM #AIExplained #short










