Large Language Models (LLMs) like GPT-4 and Gemini-1.5 have revolutionized the field of natural language processing, significantly enhancing text processing applications such as summarization and question answering. However, the long context management required for these applications presents challenges due to computational limitations and cost implications. Recent research has been exploring ways to balance performance and…
Large Language Models (LLMs), widely used in automation and content creation, are vulnerable to manipulation by adversarial attacks, leading to significant risk of misinformation, privacy breaches, and enabling criminal activities. According to research led by Meetyou AI Lab, Osaka University and East China Normal University, these sophisticated models are open to harmful exploitation despite safety…
MIT and Harvard researchers have highlighted the divergence between human expectations of AI system capabilities and their actual performance, particularly in large language models (LLMs). The inconsistent ability of AI to match human expectations could potentially erode public trust, thereby obstructing the broad adoption of AI technology. This issue, the researchers emphasized, escalates the risk…
Remote sensing is a crucial and innovative technology that utilizes satellite and aerial sensor technologies for the detection and classification of objects on Earth. This technology plays a significant role in environmental monitoring, agricultural management, and natural resource conservation. It enables scientists to accumulate massive amounts of data over large geographical areas and timeframes, providing…
Large Language Models (LLMs) such as GPT-4, Gemini, and Claude have exhibited striking capabilities but evaluating them is complex, necessitating an integrated, transparent, standardized and reproducible framework. Despite the challenges, no comprehensive evaluation technique currently exists, which has hampered progress in this area.
However, researchers from the LMMs-Lab Team and S-Lab at NTU, Singapore, developed the…
Fundamental large language models (LLMs) including GPT-4, Gemini and Claude have shown significant competencies, matching or surpassing human performance. In this light, benchmarks are necessary tools to determine the strengths and weaknesses of various models. Transparent, standardized and reproducible evaluations are crucial and much needed for language and multimodal models. However, the development of custom…
The field of large language models (LLMs) is developing at a rapid pace due to the need to process extensive text inputs and deliver accurate, efficient responses. Open-access LLMs and proprietary models like GPT-4-Turbo must handle substantial amounts of information that often exceed a single prompt’s limitations. This is key for tasks like document summarisation,…
