HF RL Explorer

Task: Implement and Compare CBOW and Skip-gram Word2Vec Models

Task: Implement and Compare CBOW and Skip-gram Word2Vec Models: a task in Terminal-Lego-15k (Harbor dataset). Implement both the CBOW (Continuous Bag of Words) and Skip-gram Word2Vec models from scratch using Python and NumPy (with optional TensorFlow/PyTorch for training). Demonstrate the key…

The task

Implement both the CBOW (Continuous Bag of Words) and Skip-gram Word2Vec models from scratch using Python and NumPy (with optional TensorFlow/PyTorch for training). Demonstrate the key architectural difference between the two approaches: how context and target words are used differently in training pair generation…

Part of PrimeIntellect/Terminal-Lego-15k.