The paper "Recent Advances in Large Language Models for Healthcare" by Khalid Nassiri and Moulay A. Akhloufi explores the potential of large language models (LLMs) in improving medical practices. The authors highlight the capabilities of LLMs in language understanding and generation, which can be leveraged in healthcare to enhance patient care, accelerate medical research, and optimize healthcare systems. They discuss the main architectures of these models, such as GPT, Bloom, and LLaMA, and examine the trends in medical datasets used for training. The paper also addresses the challenges and ethical issues associated with the use of LLMs in healthcare, emphasizing the need for rigorous evaluation and addressing concerns like privacy, confidentiality, and algorithmic biases. The authors propose a discussion on the capabilities and limitations of new generations of linguistic models in the context of healthcare, highlighting their potential to transform medicine through better mastery and use of clinical language.The paper "Recent Advances in Large Language Models for Healthcare" by Khalid Nassiri and Moulay A. Akhloufi explores the potential of large language models (LLMs) in improving medical practices. The authors highlight the capabilities of LLMs in language understanding and generation, which can be leveraged in healthcare to enhance patient care, accelerate medical research, and optimize healthcare systems. They discuss the main architectures of these models, such as GPT, Bloom, and LLaMA, and examine the trends in medical datasets used for training. The paper also addresses the challenges and ethical issues associated with the use of LLMs in healthcare, emphasizing the need for rigorous evaluation and addressing concerns like privacy, confidentiality, and algorithmic biases. The authors propose a discussion on the capabilities and limitations of new generations of linguistic models in the context of healthcare, highlighting their potential to transform medicine through better mastery and use of clinical language.