Closed-Loop Supervised Fine-Tuning of Tokenized Traffic Models. CVPR Oral 2025.

Next-token prediction in JavaScript — build fast language and diffusion models.

Generative model for sequential recommendation based on Convolution Neural Networks (CNN))

[ICLR 2025] Where Am I and What Will I See : An Auto-Regressive Model for Spatial Localization and View Prediction

Curated collection of research on the limitations of next-token prediction and methods that go beyond it.

LLM pipeline: data→tokenizer→attention→GPT train/eval→instruction FT→sampling. Reproducible, clean configs, RTX-4060 defaults, ready for AMP/LoRA/DDP.

Training repo for Toy GPT: context-3 model + small structured corpus (001_animals.txt)

Training repo for Toy GPT: Context-2 model with embeddings + small domain corpus (030_analytics.txt). Much more efficient use of space.

Training repo for Toy GPT: unigram + small neutral corpus (000_cat_dog.txt)

Implementation of a simplified GPT model trained on the Friends Series' dialogue dataset to generate dialogue-like text using a transformer architecture with multi-head attention and feed-forward networks. Includes training scripts, model definition, and text generation functionality.

Training repo for Toy GPT: context-2 model + small domain corpus (010_llm_glossary.txt)

Training repo for Toy GPT: unigram model + small structured corpus (001_animals.txt)

ngram language model next token prediction

Training repo for Toy GPT: bigram model + small domain corpus (010_llm_glossary.txt)

Training repo for Toy GPT: Context-3 model + small neutral corpus (000_cat_dog.txt)

Interactive visualization of next-word (token) prediction in GPT-style language models.

Training repo for Toy GPT: Context-3 model with attention + small domain corpus (030_analytics.txt). Attention requires scale.

Training repo for Toy GPT: bigram model + small structured corpus (001_animals.txt)

Training repo for Toy GPT: context-2 model + small structured corpus (001_animals.txt)

Training repo for Toy GPT: Context-2 model with attention + small domain corpus (030_analytics.txt). Attention requires scale.