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NEURAL
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NLP
AGENT
ML
› model.train()|
accuracy: 98.7% ✓
epoch 42/50
tokens: 4,096
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// WHY DATAVIV

Built for real-world
AI mastery

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// AI IN ACTION

Learn by watching AI think

Every course brings you inside the systems you're building. Real inference, real data, real projects.

AUDIO · SPEECH · NLP

Live inference visualizer

Watch a transformer process voice, text and images in real time inside every technical course.
◉ REC · 00:04:12 16 kHz · MEL
TRAINING LOSS

Convergence, live

CLASSIFIER OUTPUT

What the model sees

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agent.py
$ python agent.py --task=summarize
✓ loading model llama-3-8b...
✓ context loaded (12,340 tok)
→ inference: 142 tok/s
output: "Ready."▊
ATTENTION IS ALL YOU NEED

Transformer, decoded

Peek inside multi-head attention. Trace how tokens flow, weights fire, and predictions form, animated inside every LLM lecture.

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// FULL CATALOG

Explore our courses

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Frequently asked questions

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