Dataset containing synthetically generated (by GPT-3.5 and GPT-4) short stories that only use a small vocabulary.

12 мая 2023 г. · We introduce TinyStories, a synthetic dataset of short stories that only contain words that a typical 3 to 4-year-olds usually understand.

A Diverse, Richly Annotated Corpus of Short-Form Stories.

12 авг. 2024 г. · Model trained on the TinyStories Dataset, see https://arxiv.org/abs/2305.07759. Based on GPT-Neo architecture.

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23 мая 2023 г. · It introduces TinyStories, a synthetic dataset which is a collection of short stories that consist of words that 3 to 4-year-olds can usually understand.

A re-implementation of GPT language model in PyTorch, both training and inference. The model is trained on the TinyStories dataset with GPT-2 tokeniser.

16 мая 2023 г. · A dataset for training tiny models to produce coherent English text with small vocabulary. R, T, Emp, Data, Smol, MS Attempts to produce KB-level TinyStories models : r/LocalLLaMA The Smallest GPT with Coherent English (by Microsoft) - Reddit Другие результаты с сайта www.reddit.com

4 июл. 2024 г. · The Small Language Model from Microsoft, called Phi-3, was trained using a novel dataset called TinyStories.

The new constrained dataset, Tiny Stories, is for analyzing core AI language capabilities. Researchers created this focused corpus of short, simple stories.