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pro vyhledávání: '"Gao, Andrew Kean"'
Autor:
Gao, Sarah, Gao, Andrew Kean
Since late 2022, Large Language Models (LLMs) have become very prominent with LLMs like ChatGPT and Bard receiving millions of users. Hundreds of new LLMs are announced each week, many of which are deposited to Hugging Face, a repository of machine l
Externí odkaz:
http://arxiv.org/abs/2307.09793
Autor:
Gao, Andrew Kean
Ribozymes, RNA molecules with distinct 3D structures and catalytic activity, have widespread applications in synthetic biology and therapeutics. However, relatively little research has focused on leveraging deep learning to enhance our understanding
Externí odkaz:
http://arxiv.org/abs/2307.05537
Autor:
Gao, Andrew Kean
Transformers are very powerful tools for a variety of tasks across domains, from text generation to image captioning. However, transformers require substantial amounts of training data, which is often a challenge in biomedical settings, where high qu
Externí odkaz:
http://arxiv.org/abs/2307.00213
Autor:
Gao, Andrew Kean
Vector embeddings have become ubiquitous tools for many language-related tasks. A leading embedding model is OpenAI's text-ada-002 which can embed approximately 6,000 words into a 1,536-dimensional vector. While powerful, text-ada-002 is not open sou
Externí odkaz:
http://arxiv.org/abs/2306.12689