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bair.berkeley.edu | ||
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blog.ml.cmu.edu
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| | | | | The latest news and publications regarding machine learning, artificial intelligence or related, brought to you by the Machine Learning Blog, a spinoff of the Machine Learning Department at Carnegie Mellon University. | |
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www.blopig.com
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| | | | | [AI summary] The article discusses the release of AlphaFold 2, a groundbreaking deep learning system for protein structure prediction. It highlights how AlphaFold 2's success is due to advanced deep learning engineering and its ability to accurately predict protein structures from sequences. The article also reflects on the implications of this achievement for academia, suggesting that it may challenge the traditional role of academic research in basic science. Additionally, it explores the potential applications of AlphaFold 2 in drug discovery, protein design, and structural biology, emphasizing the transformative impact it could have on these fields. The author concludes by acknowledging the significance of AlphaFold 2's success and the need for the acade... | |
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haifengl.wordpress.com
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| | | | | Generative artificial intelligence (GenAI), especially ChatGPT, captures everyone's attention. The transformerbased large language models (LLMs), trained on a vast quantity of unlabeled data at scale, demonstrate the ability to generalize to many different tasks. To understand why LLMs are so powerful, we will deep dive into how they work in this post. LLM Evolutionary Tree... | |
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harvardnlp.github.io
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| | | [AI summary] The provided code is a comprehensive implementation of the Transformer model, including data loading, model architecture, training, and visualization. It also includes functions for decoding and visualizing attention mechanisms across different layers of the model. The code is structured to support both training and inference, with examples provided for running the model and visualizing attention patterns. | ||
