Foundation models for generalist medical artificial intelligence
The exceptionally rapid development of highly flexible, reusable artificial intelligence (AI)
models is likely to usher in newfound capabilities in medicine. We propose a new paradigm …
models is likely to usher in newfound capabilities in medicine. We propose a new paradigm …
Challenges and applications of large language models
Large Language Models (LLMs) went from non-existent to ubiquitous in the machine
learning discourse within a few years. Due to the fast pace of the field, it is difficult to identify …
learning discourse within a few years. Due to the fast pace of the field, it is difficult to identify …
Hyenadna: Long-range genomic sequence modeling at single nucleotide resolution
Genomic (DNA) sequences encode an enormous amount of information for gene regulation
and protein synthesis. Similar to natural language models, researchers have proposed …
and protein synthesis. Similar to natural language models, researchers have proposed …
ChatGPT, GPT-4, and other large language models: the next revolution for clinical microbiology?
A Egli - Clinical Infectious Diseases, 2023 - academic.oup.com
Abstract ChatGPT, GPT-4, and Bard are highly advanced natural language process–based
computer programs (chatbots) that simulate and process human conversation in written or …
computer programs (chatbots) that simulate and process human conversation in written or …
The nucleotide transformer: Building and evaluating robust foundation models for human genomics
Closing the gap between measurable genetic information and observable traits is a
longstand-ing challenge in genomics. Yet, the prediction of molecular phenotypes from DNA …
longstand-ing challenge in genomics. Yet, the prediction of molecular phenotypes from DNA …
Opportunities and challenges for machine learning-assisted enzyme engineering
Enzymes can be engineered at the level of their amino acid sequences to optimize key
properties such as expression, stability, substrate range, and catalytic efficiency─ or even to …
properties such as expression, stability, substrate range, and catalytic efficiency─ or even to …
A survey of techniques for optimizing transformer inference
Recent years have seen a phenomenal rise in the performance and applications of
transformer neural networks. The family of transformer networks, including Bidirectional …
transformer neural networks. The family of transformer networks, including Bidirectional …
State-specific protein–ligand complex structure prediction with a multiscale deep generative model
The binding complexes formed by proteins and small molecule ligands are ubiquitous and
critical to life. Despite recent advancements in protein structure prediction, existing …
critical to life. Despite recent advancements in protein structure prediction, existing …
Scientists' Perspectives on the Potential for Generative AI in their Fields
MR Morris - arXiv preprint arXiv:2304.01420, 2023 - arxiv.org
Generative AI models, including large language models and multimodal models that include
text and other media, are on the cusp of transforming many aspects of modern life, including …
text and other media, are on the cusp of transforming many aspects of modern life, including …
An interdisciplinary outlook on large language models for scientific research
In this paper, we describe the capabilities and constraints of Large Language Models
(LLMs) within disparate academic disciplines, aiming to delineate their strengths and …
(LLMs) within disparate academic disciplines, aiming to delineate their strengths and …