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Large Language Models (LLMs) are transformative AI systems trained on vast text data, enabling natural language understanding and generation. Evolving from rule-based and statistical NLP, LLMs utilize transformer architectures, attention mechanisms, and tokenization strategies for high contextual comprehension.
Suryavanshi, Jayshree +1 more
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Suryavanshi, Jayshree +1 more
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LARGE LANGUAGE MODELS (LLMS) AND CHATGPT FOR BIOMEDICINE
Biocomputing 2024, 2023Large 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 new content, making them highly desirable in many biomedical applications and beyond.
Cecilia, Arighi +2 more
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Large language models (LLMs) and the institutionalization of misinformation
Trends in Cognitive SciencesLarge language models (LLMs), such as ChatGPT, flood the Internet with true and false information, crafted and delivered with techniques that psychological science suggests will encourage people to think that information is true. What's more, as people feed this misinformation back into the Internet, emerging LLMs will adopt it and feed it back in ...
Maryanne Garry +3 more
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Large language models (LLMs) in radiography research: A narrative review
RadiographyArtificial intelligence (AI) has become increasingly embedded in Radiography research and practice, extending beyond diagnostic support and workflow optimisation to non-patient-facing applications. Generative AI (GenAI), particularly Large Language Models (LLMs), have been used in radiography research, generating synthetic data, assisting in literature
C. Rainey +5 more
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Lower Energy Large Language Models (LLMs)
Computer, 2023Hsiao-Ying Lin, Jeffrey M. Voas
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Tokenization in Large Language Models (LLMs)
In Natural Language Processing (NLP), tokenization is crucial. It helps convert unprocessed text into machine-understandable tokens. Large Language Models (LLMs) such as GPT, BERT, and T5 are particularly affected by this. This chapter examines the significance of tokenization for LLMs. It shapes how well these models perform tasks such as translation,openaire +1 more source
ChatGPT and large language model (LLM) chatbots: Correspondence
Journal of Pediatric Urology, 2023Amnuay, Kleebayoon, Viroj, Wiwanitkit
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