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| | vxlabs.com
13.1 parsecs away

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| | I have recently become fascinated with (Variational) Autoencoders and with PyTorch. Kevin Frans has a beautiful blog post online explaining variational autoencoders, with examples in TensorFlow and, importantly, with cat pictures. Jaan Altosaar's blog post takes an even deeper look at VAEs from both the deep learning perspective and the perspective of graphical models. Both of these posts, as well as Diederik Kingma's original 2014 paper Auto-Encoding Variational Bayes, are more than worth your time.
| | saeedesmaili.com
13.4 parsecs away

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| | Recently, I've been working on a side project where I use OpenAI's text-embedding-ada-002 model to generate vector embeddings for text snippets. While this model is inexpensive, the cost can add up when dealing with thousands or millions of text snippets. Therefore, I decided to explore alternatives, particularly those that would allow me to run similar models locally instead of relying on OpenAI's API. In this post, I'll share my experience using the sentence-transformers library for this purpose and discuss the pros and cons.
| | mccormickml.com
10.9 parsecs away

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| | xmau.com
60.6 parsecs away

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| Sfrutto il mio blog per farmi un po' di promozione (ma sempre matematica, in un certo senso...) e segnalarvi che ho appena pubblicato Fantamatematica, un ebook con undici microracconti di...