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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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VISTA-PATH: An interactive foundation model for pathology image segmentation and quantitative analysis in computational pathology
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