Large language models in medicine
Large language models (LLMs) can respond to free-text queries without being specifically
trained in the task in question, causing excitement and concern about their use in healthcare …
trained in the task in question, causing excitement and concern about their use in healthcare …
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 …
Simulating 500 million years of evolution with a language model
More than three billion years of evolution have produced an image of biology encoded into
the space of natural proteins. Here we show that language models trained at scale on …
the space of natural proteins. Here we show that language models trained at scale on …
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 …
Welcome to the era of chatgpt et al. the prospects of large language models
The emergence of Large Language Models (LLMs) in combination with easy-to-use
interfaces such as ChatGPT, Bing Chat, and Google's Bard represent both a Herculean task …
interfaces such as ChatGPT, Bing Chat, and Google's Bard represent both a Herculean task …
Sequence modeling and design from molecular to genome scale with Evo
The genome is a sequence that encodes the DNA, RNA, and proteins that orchestrate an
organism's function. We present Evo, a long-context genomic foundation model with a …
organism's function. We present Evo, a long-context genomic foundation model with a …
[HTML][HTML] The emergent role of artificial intelligence, natural learning processing, and large language models in higher education and research
Artificial Intelligence (AI) has revolutionized various domains, including education and
research. Natural language processing (NLP) techniques and large language models …
research. Natural language processing (NLP) techniques and large language models …
The Janus effect of generative AI: Charting the path for responsible conduct of scholarly activities in information systems
The Janus Effect of Generative AI: Charting the Path for Responsible Conduct of Scholarly
Activities in Information Systems | Information Systems Research INFORMS.org Certified …
Activities in Information Systems | Information Systems Research INFORMS.org Certified …
Machine learning in preclinical drug discovery
Drug-discovery and drug-development endeavors are laborious, costly and time consuming.
These programs can take upward of 12 years and cost US $2.5 billion, with a failure rate of …
These programs can take upward of 12 years and cost US $2.5 billion, with a failure rate of …
[HTML][HTML] Progen2: exploring the boundaries of protein language models
Attention-based models trained on protein sequences have demonstrated incredible
success at classification and generation tasks relevant for artificial-intelligence-driven …
success at classification and generation tasks relevant for artificial-intelligence-driven …