AIMC Topic: Language

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LARGE LANGUAGE MODELS (LLMS) AND CHATGPT FOR BIOMEDICINE.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
Large Language Models (LLMs) are a type of artificial intelligence that has been revolutionizing various fields, including biomedicine. They have the capability to process and analyze large amounts of data, understand natural language, and generate n...

Clinfo.ai: An Open-Source Retrieval-Augmented Large Language Model System for Answering Medical Questions using Scientific Literature.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
The quickly-expanding nature of published medical literature makes it challenging for clinicians and researchers to keep up with and summarize recent, relevant findings in a timely manner. While several closed-source summarization tools based on larg...

AI language models in human reproduction research: exploring ChatGPT's potential to assist academic writing.

Human reproduction (Oxford, England)
Artificial intelligence (AI)-driven language models have the potential to serve as an educational tool, facilitate clinical decision-making, and support research and academic writing. The benefits of their use are yet to be evaluated and concerns hav...

Modeling Brain Representations of Words' Concreteness in Context Using GPT-2 and Human Ratings.

Cognitive science
The meaning of most words in language depends on their context. Understanding how the human brain extracts contextualized meaning, and identifying where in the brain this takes place, remain important scientific challenges. But technological and comp...

Pros and Cons of Using Artificial Intelligence Chatbots for Musculoskeletal Rehabilitation Management.

The Journal of orthopaedic and sports physical therapy
Artificial intelligence (AI), specifically large language models (LLMs), which focus on the interaction between computers and human language, can influence musculoskeletal rehabilitation management. AI chatbots (eg, ChatGPT, Microsoft Bing, and Goog...

Assessing protein model quality based on deep graph coupled networks using protein language model.

Briefings in bioinformatics
Model quality evaluation is a crucial part of protein structural biology. How to distinguish high-quality models from low-quality models, and to assess which high-quality models have relatively incorrect regions for improvement, are remain a challeng...