THE FREE LANGUAGE MODEL LAB

Don’t just call
a model.
Train one.

Build your first language model in Python. Go from random weights to generated text—with a guided notebook that explains each step.

Get the free lab →

For software engineers. No PyTorch experience needed.

your_first_language_model.ipynbPYTHON

01 / DEFINE YOUR MODEL

model = nn.Sequential(
 nn.Embedding(vocab_size, 16),
 nn.Flatten(),
 nn.Linear(64, 64),
 nn.Tanh(),
 nn.Linear(64, vocab_size)
)

02 / SEE WHAT CHANGES

TRAINED MODEL

the robot repairs the telescope.

Saved example from the lab. Your samples may differ. This preview does not run a model.

01 Guided Colab notebook

03 Hands-on experiments

CPU No GPU or paid API

~30–45 min Learn at your own pace

SMALL MODEL. REAL LEARNING.

Change something.
Understand what happens.

Reading the explanation is a start. Running the experiment is where it clicks.

Turn up the temperature.

Keep the weights fixed. Change how the model samples its next word, and compare predictable output with more varied guesses.

SAME MODEL. DIFFERENT SAMPLES.

Give it time to learn.

Start from the same random weights. Compare 10 training steps with 400, and connect the loss curve to the text it generates.

10 STEPS → 400 STEPS

Find its memory limit.

This model sees four tokens at a time. Change words inside and outside that window to discover what affects its next prediction.

A FOUR-TOKEN WINDOW

A FIRST STEP INTO LLM ENGINEERING

Small enough to follow.
Real enough to learn from.

You’ll train a tiny neural language model on a toy dataset. It isn’t a Transformer or a chatbot. It’s a manageable first build that makes tokens, tensors, loss and generation concrete.

Inside your notebook

Runnable Python and PyTorch code
Step-by-step explanations and answer checks
Interactive text-generation controls
Three experiments and a place to record what you learn

Bring: basic Python and a Google account.
No local setup. No dataset download. No API key.

YOUR NEXT STEP

Your first model
starts here.

Get the free Google Colab notebook and start building.

Your First Language ModelGuided Python lab · Google Colab

A few things to know

Do I need to know PyTorch?

No. Basic Python helps, but the notebook introduces the PyTorch code as you go.

Will I build a model like ChatGPT?

You’ll build a much smaller educational model: a neural network with a four-token context window, trained on a toy dataset. It teaches the foundations, rather than replicating a modern chatbot.

How long does it take?

Allow about 30–45 minutes for a first pass. That is an estimate, not a deadline; spend longer on the experiments if you like.

Where does it run?

In Google Colab in your browser. You’ll need a Google account to save a copy and run the notebook. A CPU runtime is enough.

Don’t just calla model.Train one.

Change something.Understand what happens.