TinyStories
PulseAugur coverage of TinyStories — every cluster mentioning TinyStories across labs, papers, and developer communities, ranked by signal.
3 day(s) with sentiment data
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WAV v1 enhances Transformer training with multi-resolution residual routing
Researchers have introduced WAV v1, a novel method for improving the training of deep decoder-only Transformers. This technique enhances residual routing by incorporating multi-resolution detail bases, which capture dir…
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Hobbyist trains small LLM from scratch on 8GB VRAM
A Reddit user successfully trained a small language model from scratch using only 8GB of VRAM. The project, available on GitHub, focused on the TinyStories dataset and explored various training techniques. While the res…
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Tiny LLM runs on emulated 90s CPU within old RTOS
A developer has successfully run a 260,000-parameter LLM, trained on the TinyStories dataset, within an emulated 1990s CPU environment. This setup operates on an 18-year-old Real-Time Operating System (RTOS) that the de…