A hands-on guide to understanding and implementing the Qwen3 large language model architecture from scratch using pure PyTorch.
Introducing TabICL, a state-of-the-art table foundation model that uses in-context learning and improved architecture for fast, scalable tabular data prediction.
A technical review of April 2024's major open LLM releases (Mixtral, Llama 3, Phi-3, OpenELM) and a comparison of DPO vs PPO for LLM alignment.
Learn techniques to speed up PyTorch model training by 8x using PyTorch Lightning, maintaining accuracy while reducing training time.
A technical guide to coding the self-attention mechanism from scratch, as used in transformers and large language models.
