Closed-Loop Supervised Fine-Tuning of Tokenized Traffic Models. CVPR Oral 2025.
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Updated
Apr 4, 2025 - Python
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.
Manas — experimental self-growing local AI system in Rust with persistent memory, next-token prediction, generation, causal attention, and transformer-assisted learning.
LLM pipeline: data→tokenizer→attention→GPT train/eval→instruction FT→sampling. Reproducible, clean configs, RTX-4060 defaults, ready for AMP/LoRA/DDP.
Interactive visualization of next-word (token) prediction in GPT-style language models.
A Next-Token Prediction Engine using LSTMs/RNNs. Demonstrates the foundational architecture of GenAI, focusing on sequence memory and perplexity optimization.natural-language-processing
Training repo for Toy GPT: Context-2 model with attention + small domain corpus (030_analytics.txt). Attention requires scale.
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)
Training repo for Toy GPT: context-3 model + small structured corpus (001_animals.txt)
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)
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: Context-3 model with attention + small domain corpus (030_analytics.txt). Attention requires scale.
Training repo for Toy GPT: context-2 model + small structured corpus (001_animals.txt)
Training repo for Toy GPT: bigram model + small structured corpus (001_animals.txt)
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