How does torch.compile() achieve massive speedups despite highly optimized torch functions? See how operator fusion works!
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Updated
Aug 3, 2026 - Jupyter Notebook
How does torch.compile() achieve massive speedups despite highly optimized torch functions? See how operator fusion works!
Training repo for Toy GPT: Context-3 model + small neutral corpus (000_cat_dog.txt)
Training repo for Toy GPT: context-3 model + small structured corpus (001_animals.txt)
Classical Python toy simulation of OES-32-style metrics (no qubits, no QEC code). All outputs SYNTHETIC.
Training repo for Toy GPT: bigram model + small domain corpus (010_llm_glossary.txt)
Training repo for Toy GPT: unigram model + small structured corpus (001_animals.txt)
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)
Training repo for Toy GPT: context-2 model + small domain corpus (010_llm_glossary.txt)
Training repo for Toy GPT: unigram + small neutral corpus (000_cat_dog.txt)
手搓零训练「随机数」GGUF 模型:不管输入什么,只吐一个均匀随机数字然后自己停。0/1 · 0-9 · 0-100 三个版本 × F16/Q8_0/Q4_K_M/Q4_K_S/Q3_K_M/Q2_K 六档量化,18 个文件全部实测通过 χ² 均匀性检验。
Interactive Monte Carlo simulation of the VNAE framework. A visual playground to test how Theta and Beta parameters influence win rates in asymmetric systems.
Interactive phenomenological toy models and parameter exploration; not empirical psychology or clinical assessment.
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: 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)
Hands-on demos of the 2026 Nobel Prizes: sourced facts, toy models you can run, and videos that stop and ask. Educational, not research.
Training repo for Toy GPT: Context-2 model with attention + small domain corpus (030_analytics.txt). Attention requires scale.
🚀 Train a custom unigram model using simple and efficient methods, enabling easy adoption for natural language processing tasks.
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