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The lab

Machine learning you can touch. Everything here runs entirely in your browser: nothing is sent to any server, and nothing is a video or a faked animation. Real models, training and predicting in front of you.

Guided experience

Train your own mini-GPT in 30 minutes

A step-by-step wizard: pick the corpus, train your own tokenizer, define the architecture and watch a real model train in front of you, all the way to generating text with it.

Start

The network that learns in front of you

Draw points and watch it find the boundary.

Open experiment

Draw a digit and it recognises it

A model trained on 30,000 digits, running right here.

Open experiment

The ball that hunts the minimum

Gradient descent over a loss mountain, in 3D.

Open experiment

The map where dog and cat are neighbours

Type words and see where they land by meaning.

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Inside a transformer's attention

Real weights from the transformer I wrote from scratch.

Open experiment

Show something to the camera

An image classifier running in your browser.

Open experiment

The polynomial that memorises the data

Raise the degree: train nailed, validation wrecked.

Open experiment

Group points without telling it what to look for

K-means step by step, with centroids you can drag.

Open experiment

The tree that chops the plane apart

A CART growing split by split, diagram alongside.

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The tokenizer that learns in front of you

BPE from scratch: watch tokens emerge merge by merge.

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The 1958 neuron

The original perceptron: it converges, or dances forever.

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How many bits does a model need?

fp32, int8, int4, int2: accuracy measured live, right here.

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Switch off 90% of the brain

Prune weights with a slider and watch when it breaks (it takes a while).

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Every digit fits in two numbers

Move through latent space and watch digits morph.

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A digit born from noise

Real diffusion, trained by me, denoising live.

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Words that sort themselves out

Word2vec training live: chaos organises itself.

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The gradient, step by step

Backpropagation over the real graph, node by node.

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The agent that learns to be afraid

Q-learning in a maze, with its mental map visible.

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What the model does not know

Sixty models and a band that widens where data is missing.

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The curve that broke the textbook

Double descent computed live: the spike and the second drop.

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How it picks the next letter

Greedy, beam search and sampling on my real transformer.

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The generator that melts a 0 into a 9

Interpolate through the latent space of a GAN I trained.

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The missing dimension

The kernel trick: inseparable in 2D, a plane in 3D.

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Fifty trees are wrong better than one

The bootstrap, animated: watch a random forest grow.

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All the attention, as a building

My transformer's 16 heads stacked in navigable 3D.

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The pole that learns not to fall

CartPole with policy gradients, training in front of you.

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Train a transformer right now

Attention, backprop and Adam by hand, running in your tab.

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Teach the camera your own classes

Real transfer learning: 15 examples and two seconds.

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You against the network: ten digits

A duel of speed and accuracy. The network takes microseconds.

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A whole RAG in your tab

Chunk, index, retrieve and cite — no server.

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How alike are two sentences?

One global number, and the matrix that shows when it lies.

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Upload a CSV and know it in a minute

Types, nulls, correlations and warnings — without leaving your browser.

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Teach the microphone your words

Eight examples per command and a hand-written FFT.

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Rate five films and I will read your taste

Matrix factorisation I trained, solved in your browser.

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Write by hand and it reads it back

One transformer sees your stroke, another writes it out, letter by letter.

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Pop bubbles by moving

Classic vision with no model at all: pixels subtracted with wit.

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Every pixel gets a name

Semantic segmentation: the whole photo, decided pixel by pixel.

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Same network, two engines

JavaScript versus Rust-compiled WebAssembly, measured in your browser.

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Learn your normal, catch the odd

An isolation forest trained on your own motion.

Open experiment

And outside the lab:

Shall we connect?

Let's talk: feedback, collaboration or an opportunity.

You can write to me about a project, a technical question, to give me feedback, or about an internship or a first junior role. I always reply.

Write to me

hola@jmwebsoluciones.com