Training repo for Toy GPT: unigram model + small structured corpus (001_animals.txt)
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Updated
Apr 4, 2026 - Python
Training repo for Toy GPT: unigram model + small structured corpus (001_animals.txt)
Training repo for Toy GPT: unigram + small neutral corpus (000_cat_dog.txt)
Training repo for Toy GPT: Context-3 model + small neutral corpus (000_cat_dog.txt)
Training repo for Toy GPT: bigram model + small domain corpus (010_llm_glossary.txt)
Training repo for Toy GPT: context-3 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.
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: 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-3 model with attention + small domain corpus (030_analytics.txt). Attention requires scale.
Training repo for Toy GPT: bigram + small neutral corpus (000_cat_dog.txt)
Training repo for Toy GPT: Context-2 model + small neutral corpus (000_cat_dog.txt)
🚀 Train a custom unigram model using simple and efficient methods, enabling easy adoption for natural language processing tasks.
Training repo for Toy GPT: context-2 model + small domain corpus (010_llm_glossary.txt)
Training repo for Toy GPT: context-3 model + small domain corpus (010_llm_glossary.txt)
🚀 Train a 200-bigram language model with ease, enhancing text generation tasks and improving natural language processing capabilities.
🚂 Train a custom GPT model with 300 contexts to enhance your natural language processing tasks and improve interactive applications.
Small Tinker + LoRA notebook sandbox with Pig Latin & basketball datasets and Weights & Biases logging.
Training repo for Toy GPT: context-2 model + small domain corpus (repo tour)
🚀 Train and fine-tune GPT models with 400-context support to enhance conversational capabilities and improve AI interactions.
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