🚀 Wanna train your own AI Model or Tokenizer from scratch?
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🚀 Wanna train your own AI Model or Tokenizer from scratch?
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Building models isn’t just for big labs anymore — with the right data, compute, and workflow, you can create **custom AI models** and **tokenizers** tailored to any domain. Whether it’s NLP, domain‑specific datasets, or experimental architectures, training from scratch gives you full control over vocabulary, embeddings, and performance.
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Building models isn’t just for big labs anymore — with the right data, compute, and workflow, you can create **custom AI models** and **tokenizers** tailored to any domain. Whether it’s NLP, domain‑specific datasets, or experimental architectures, training from scratch gives you full control over vocabulary, embeddings, and performance.
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✨ Why train your own?
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✨ Why train your own?
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- Full control over vocabulary & tokenization
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- Full control over vocabulary & tokenization
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- Domain‑specific optimization (medical, legal, technical, etc.)
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- Domain‑specific optimization (medical, legal, technical, etc.)
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- Better performance on niche datasets
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- Better performance on niche datasets
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- Freedom to experiment with architectures
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- Freedom to experiment with architectures
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⚡ The best part?  
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⚡ The best part?  
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- Tokenizer training (TikToken / BPE) can be done in **just 3 lines of code**.  
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- Tokenizer training (TikToken / BPE) can be done in **just 3 lines of code**.  
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- Model training runs smoothly on **Google Colab notebooks** — no expensive hardware required.  
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- Model training runs smoothly on **Google Colab notebooks** — no expensive hardware required.  
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📂 Try out my work:
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📂 Try out my work:
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- 🔗 
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- 🔗 
https://github.com/OE-Void/Tokenizer-from_scratch
https://github.com/OE-Void/Tokenizer-from_scratch
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- 🔗 
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- 🔗 
https://github.com/OE-Void/GPT
https://github.com/OE-Void/GPT
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🚀 Wanna train your own AI Model or Tokenizer from scratch?

Building models isn’t just for big labs anymore — with the right data, compute, and workflow, you can create **custom AI models** and **tokenizers** tailored to any domain. Whether it’s NLP, domain‑specific datasets, or experimental architectures, training from scratch gives you full control over vocabulary, embeddings, and performance.

✨ Why train your own?
- Full control over vocabulary & tokenization
- Domain‑specific optimization (medical, legal, technical, etc.)
- Better performance on niche datasets
- Freedom to experiment with architectures

⚡ The best part?  
- Tokenizer training (TikToken / BPE) can be done in **just 3 lines of code**.  
- Model training runs smoothly on **Google Colab notebooks** — no expensive hardware required.  

📂 Try out my work:
- 🔗 https://github.com/OE-Void/Tokenizer-from_scratch
- 🔗 https://github.com/OE-Void/GPT

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🚀
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