🔗 Transformers (how LLMs work) explained visually

What GPT means, how such neurons are created, how the perception of tokens works, and much other interesting information.

📋 Content:

00:00 - Predict, sample, repeat
03:03 - Inside a transformer
06:36 - Chapter layout
07:20 - The premise of Deep Learning
12:27 - Word embeddings
18:25 - Embeddings beyond words
20:22 - Unembedding
22:22 - Softmax with temperature
26:03 - Up next

Now any doodles can be turned into architectural designs.

The genius created an interface with neurons that transforms ordinary drawings into architectural-themed designs.

🔗 Source

🤖 Driverless taxis are already in the outback of India.

The startup Swaayatt Robots set a crazy goal - to develop AI for unmanned driving on roads with cows, scooters and constant oncoming traffic, in the absence of signs and normal markings. Why, there are no normal roads either.

And the best thing is that they succeed!

Artificial intelligence 🤖

🔗 Machine Learning Algorithms

🧠 Machine Learning Roadmap

Getting into neural networks: a massive, detailed Deep Learning textbook has been released 💬

Inside you'll find everything essential about models: what transformers are, how image generation works, and much more. To reinforce the learning, there are 60 exercises in Python Notebook available on the website — link 😎

🔗 AI Agents - Build and Host LLM Apps At Scale