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reacted to Parveshiiii's post with šŸ”„ 1 day ago
šŸš€ Wanna train your own AI Model or Tokenizer from scratch? Building models isnā€™t just for big labs anymore ā€” with the right data, compute, and workflow, you can create **custom AI models** and **tokenizers** tailored to any domain. Whether itā€™s NLP, domainā€‘specific datasets, or experimental architectures, training from scratch gives you full control over vocabulary, embeddings, and performance. āœØ Why train your own? - Full control over vocabulary & tokenization - Domainā€‘specific optimization (medical, legal, technical, etc.) - Better performance on niche datasets - Freedom to experiment with architectures āš” The best part? - Tokenizer training (TikToken / BPE) can be done in **just 3 lines of code**. - Model training runs smoothly on **Google Colab notebooks** ā€” no expensive hardware required. šŸ“‚ Try out my work: - šŸ”— https://github.com/OE-Void/Tokenizer-from_scratch - šŸ”— https://github.com/OE-Void/GPT
upvoted a paper 1 day ago
VISTA-PATH: An interactive foundation model for pathology image segmentation and quantitative analysis in computational pathology
liked a dataset 1 day ago
Reubencf/2023_events
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