transformers

Mechanistic interpretability reverse-engineers neural networks into features and circuits. What it has found in GPT-2 and Claude, and what it cannot yet do.

Hugging Face hosts open AI models, datasets, and demos. How the Hub, Transformers, Spaces, and Inference Endpoints work, and Nvidia's $12.93B deal.

Transformer neural networks explained for beginners: attention mechanism, self-attention, encoder-decoder, why they power every modern LLM like ChatGPT and.

How deep learning models (LSTM, Transformers) power quantitative trading strategies.

Meta trained Llama 3 on more than 15 trillion tokens using 7.7 million H100 GPU-hours. Here is how next-token prediction at that scale turns into a conversation partner.