{"origin":"yabs.io","url":"https:\/\/yabs.io\/a\/view.php?user=mzimmerm&tags=transformer&page=0&r=json","version":"1.0","limit":50,"page":"0","state":null,"r":"json","user":"mzimmerm","user_id":1821,"count":4,"count_bookmarks":4,"bookmarks":[{"id":"1489894","user":"1821","cdate":"2024-03-11 12:44:39","updated":"2024-03-12 05:02:48","title":"Optimum","link":"https:\/\/huggingface.co\/docs\/optimum\/index","state":"public","note":"Optimum is an extension of Transformers that provides a set of performance optimization tools to train and run models on targeted hardware with maximum efficiency. It is also the repository of small, mini, tiny models.","username":"mzimmerm","tags":"ai,doc,huggingface,llm,model,optimum,repo,small,transformer","count":"9"},{"id":"1489883","user":"1821","cdate":"2024-03-10 21:44:09","updated":"2024-03-12 05:17:12","title":"google-research\/bert: TensorFlow code and pre-trained models for BERT","link":"https:\/\/github.com\/google-research\/bert\/","state":"public","note":"BERT model home on github","username":"mzimmerm","tags":"bert,transformer,tiny,model,mini,llm,home,github,ai","count":"9"},{"id":"1489882","user":"1821","cdate":"2024-03-10 21:39:00","updated":"2024-03-11 04:41:53","title":"BERT Transformers \u2013 How Do They Work? | Exxact Blog","link":"https:\/\/www.exxactcorp.com\/blog\/Deep-Learning\/how-do-bert-transformers-work","state":"public","note":"Excellent document about BERT transformers \/ models and their parameters: - L=number of layers. - H=size of the hidden layer = number of vectors for each word in the sentence. - A = Number of self-attention heads - Total parameters.","username":"mzimmerm","tags":"llm,transformer,todo,progress,parameter,good,doc,bert,ai","count":"9"},{"id":"1489825","user":"1821","cdate":"2024-03-05 16:46:01","updated":"2024-03-06 00:46:15","title":"Solving Transformer by Hand: A Step-by-Step Math Example | by Fareed Khan | Level Up Coding","link":"https:\/\/levelup.gitconnected.com\/understanding-transformers-from-start-to-end-a-step-by-step-math-example-16d4e64e6eb1","state":"public","note":"Doing what a transformer is doing, by hand","username":"mzimmerm","tags":"example,math,principle,todo,transformer,ai","count":"6"}],"used_tags":["ai","bert","doc","example","github","good","home","huggingface","llm","math","mini","model","optimum","parameter","principle","progress","repo","small","tiny","todo","transformer"],"tags":["transformer"],"pages":1,"title":"mzimmerm bookmarks: transformer - page: 1"}