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Large language models (LLMs) have revolutionized the field of AI with their ability to generate human-like text and perform complex reasoning. However, despite their capabilities, LLMs need help with tasks requiring domain-specific knowledge, especially in healthcare, law, and finance. When trained on large datasets, these models often miss critical information from specialized domains, leading to…
As the volume of unstructured data grows in various fields, including healthcare, legal, and finance, the demand for efficient, accurate document processing solutions increases. Handling unstructured data is challenging due to its inherent lack of structure and consistency. Unlike structured data, which follows a predefined format (e.g., databases), unstructured data can vary widely in format,…
Foundation models have emerged as transformative digital technologies, introducing new capabilities and risks that have captured unprecedented public attention. However, the current foundation model ecosystem lacks transparency, mirroring issues faced by earlier digital technologies like social media platforms. The 2023 Foundation Model Transparency Index revealed that major developers scored an average of only 37 out…
The Role of ChatGPT in Enhancing Tourist Decision-Making: A Study Based on Accessibility–Diagnosticity Theory: This study examines the influence of ChatGPT on tourist decision-making, focusing on the accessibility and diagnostic quality of its travel recommendations. By leveraging the Accessibility–Diagnosticity Theory (ADT), the analysis highlights ChatGPT’s ability to generate personalized, context-specific content for tourists. The findings…
Limitations in handling deceptive or fallacious reasoning have raised concerns about LLMs’ security and robustness. This issue is particularly significant in contexts where malicious users could exploit these models to generate harmful content. Researchers are now focusing on understanding these vulnerabilities and finding ways to strengthen LLMs against potential attacks. A key problem in the…
As artificial intelligence (AI) continues to advance, it increasingly generates creative works such as art, music, and inventions that challenge traditional notions of intellectual property (IP) ownership. This intersection between AI and IP raises fundamental questions about existing laws and their adaptability to these new realities. This article delves into three crucial research questions: How…
Federated Learning (FL) is a successful solution for decentralized model training that prioritizes data privacy, allowing several nodes to learn together without sharing data. It’s especially important in sensitive areas such as medical analysis, industrial anomaly detection, and voice processing. Recent FL advancements emphasize decentralized network architectures to address challenges posed by non-IID (non-independent and…
The Role of AI in Multi-Omics Analysis for NSCLC Treatment: The integrated multi-omics data analysis—including genomic, transcriptomic, proteomic, metabolomic, and interactomic data—has become essential for understanding the complex mechanisms behind cancer development and progression. While advancements in multi-omics have revealed crucial insights into cancer, particularly in non-small-cell lung cancer (NSCLC), the analysis of this data…
Small language models (SLMs) have become a focal point in natural language processing (NLP) due to their potential to bring high-quality machine intelligence to everyday devices. Unlike large language models (LLMs) that operate within cloud data centers and demand significant computational resources, SLMs aim to democratize artificial intelligence by making it accessible on smaller, resource-constrained…
Information retrieval (IR) models face significant challenges in delivering transparent and intuitive search experiences. Current methodologies primarily rely on a single semantic similarity score to match queries with passages, leading to a potentially opaque user experience. This approach often requires users to engage in a cumbersome process of finding specific keywords, applying various filters in…