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We need to include a new section about LLMs in the https://docs.mindsdb.com/model-types
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The default BLAS Julia uses is OpenBLAS. Apple's M1 has proprietary dedicated matrix hardware that is only accessible via Apple's Accelerate BLAS implementation. That proprietary interface can provide…
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## 💥 Proposal
The aim of this project is to develop a machine learning model that performs sentiment analysis on tweets. Sentiment analysis, also known as opinion mining, involves determining the s…
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Jae Duk Seo. [Only Numpy: NIPS 2017 - Implementing Dilated Recurrent Neural Networks with Interactive Code](https://towardsdatascience.com/only-numpy-nips-2017-implementing-dilated-recurrent-neural-ne…
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Paper Suggestion
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* Title: Attention is all you need
* Link: https://arxiv.org/abs/1706.03762
Content Summary
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The dominant sequence transdu…
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From https://github.com/spro/practical-pytorch/tree/master/seq2seq-translation
cc @pytorch/team-text-core @Nayef211
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Over the last several months, DeepChem has started to grow outwards past its core molecular machine learning system. We've got increasing support for materials datasets and learning tasks, and a growi…
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## After tokenization, you can use a variety of machine learning algorithms to create a model for text summarization. Some of the most common algorithms include:
### Seq2Seq:
This is a neural n…
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https://arxiv.org/abs/1704.05831
未来の動画フレーム予測。めちゃめちゃすごい!
https://sites.google.com/a/umich.edu/rubenevillegas/hierch_vid
We propose a hierarchical approach for making long-term predictions of f…
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(as part of the [JOSS Review](https://github.com/openjournals/joss-reviews/issues/5411))
The paper is easy written, easy to follow, and nicely outlines the need of the `SleepECG` package. It provid…