Authors Editorial Team Affiliations MBZUAI Published July 30, 2024 DOI 15.997566/mbzuai.00033 Introduction Large Language Models (LLMs) excel in understanding instructions, generating human-like text, and tackling complex tasks, making them invaluable in various fields, including healthcare. They hold the potential for enhancing diagnostic accuracy through virtual chat support in medical departments. However, their application in healthcare poses challenges, such as the need for domain-specific data, accurate interpretations, and concerns about transparency and bias. Recent efforts have focused on developing open-source medical…

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Authors Editorial Team Affiliations MBZUAI Published July 30, 2024 DOI 15.997566/mbzuai.00033 Introduction Current methods in video understanding primarily rely on either image or video encoders, each with inherent limitations. Image encoders capture detailed spatial information but lack the temporal context crucial for understanding dynamic actions. On the other hand, video encoders excel at capturing global temporal context but struggle with computational limitations. To manage these constraints, the video resolution is often reduced, and only a small subset of frames is…

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Authors Editorial Team Affiliations MBZUAI Published June 26, 2024 DOI 15.997566/mbzuai.00033 The past year marked a significant paradigm shift in the ever-evolving landscape of large language models (LLMs), witnessing an unprecedented surge in their popularity, understanding, and capabilities. For instance, proprietary giants like GPT-4 and LlaMA have undeniably captured the attention of the AI community with their ability and versatility. Simultaneously, the emergence of openly accessible yet highly capable LLMs such as LLaMA, Pythia, Falcon, and Mistral have empowered researchers…

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Authors Editorial Team Affiliations MBZUAI Published June 26, 2024 DOI 15.997566/mbzuai.00033 Introduction Large language models (LLMs) like ChatGPT have demonstrated remarkable capabilities across various tasks, from answering simple and complex questions to generating code. Yet, the process of effectively interacting with them, particularly in crafting optimal instructions or prompts, can be unclear to many users. In the paper, “Principled Instructions Are All You Need for Questioning LLaMA-1/2, GPT-3.5/4” the authors aim to clarify this process for developers and general users,…

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