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www.telesens.co | ||
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vxlabs.com
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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. | |
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saeedesmaili.com
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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. | |
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www.singlelunch.com
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| | | | | This is the blog version of a talk of mine on embedding methods. It's the main slides and what I would say in the talk. Intended audience: Anyone interested in embedding methods. I don'... | |
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towardsdatascience.com
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| | | Learn how to build feedforward neural networks that are interpretable by design using PyTorch. | ||
