Engineering thermostable affinity proteins for use in high-throughput immunoassay formats by Jia, Huan, Moomen, Nazirulmubin Abdul, Leong, Jeanette, Kongsuphol, Patthara, Lim, Zhi Feng Sherman, Pui, Carmen Sze Min, Tan, Yuxuan, Sung, Ki-Joo, Sikes, Hadley D

“…ELISA utilizes polystyrene materials for capture reagents. …”
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Tree-based Data Replay for More Efficient LLM Continual Learning by Bailey, Brian

“…As Large Language Models (LLMs) gain popularity, they face a crucial challenge: effectively updating their knowledge bases with new data while retaining knowledge of prior information. …”
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Efficient inference offloading for mixture-of-experts large language models in internet of medical things by Yuan, Xiaoming, Kong, Weixuan, Luo, Zhenyu, Xu, Minrui

“…Despite recent significant advancements in large language models (LLMs) for medical services, the deployment difficulties of LLMs in e-healthcare hinder complex medical applications in the Internet of Medical Things (IoMT). …”
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LLM-based column lineage for relational databases by Tan, Yu Ling

“…This project seeks to overcome these limitations by investigating the potential of using LLMs as an alternative to conventional SQL parsers.…”
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InvWealthGPT: modern wealth management advice to the masses using generative AI by Tan, Marcus Song Huang

“…This paper discusses the potential application of Generative AI LLMs in wealth management and finance, and how it can serve as a robust, customisable, yet accurate and reliable tool for the masses.…”
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Validation of a multiplexed immunoassay for immunological analysis of pre erythrocytic malaria vaccines by Stockdale, LK, Provstgaard-Morys, S, Bellamy, D, Woods, D, Rapi, K, Bajer, A, Hollingdale, B, Muñoz, O, Malik, S, Hill, AVS, Ewer, KJ

“…We report a strong linear relationship between NANP6 IgG as measured by the singleplex ELISA and the multiplexed assay with rho values of 0.89 and 0.88 for two separate clinical trials (both p < 0.0005). …”

ProtAgents: Protein discovery via large language model multi-agent collaborations combining physics and machine learning by Ghafarollahi, Alireza, Buehler, Markus J.

“…The dynamic collaboration between agents, empowered by LLMs, provides a versatile approach to tackling protein design and analysis problems, as demonstrated through diverse examples in this study. …”
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Model merging and safety alignment: one bad model spoils the bunch by Hammoud, HAAK, Michieli, U, Pizzati, F, Torr, P, Bibi, A, Ghanem, B, Ozay, M

“…Merging Large Language Models (LLMs) is a cost-effective technique for combining multiple expert LLMs into a single versatile model, retaining the expertise of the original ones. …”

Generative artificial intelligence : exploring the power and potential of generative AI / by Solanki, Shivam R., author 654859, Khublani, Drupad K., author, SpringerLink (Online service)

“…Then the book switch gears to dive into generative text models, exploring the concepts of Large Language Models (LLMs), natural language generation (NLG), fine-tuning, prompt tuning, and reinforcement learning. …”
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Advances and applications of large language models II by Ng, Qi Xuan

“…This project leverages advanced Large Language Models (LLMs), renowned for their capabilities in complex natural language processing (NLP) tasks. …”
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Large multimodal models for visual reasoning by Duong, Ngoc Yen

“…This paper introduces a novel framework for enhancing visual spatial reasoning by leveraging the strengths of Large Language Models (LLMs) and Vision-Language Models (VLMs). We propose two complementary methods: LLMGuide and LLMVerify. …”
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Bi-factorial preference optimization: balancing safety-helpfulness in language models by Zhang, W, Torr, PHS, Elhoseiny, M, Bibi, A

“…Fine-tuning large language models (LLMs) on human preferences, typically through reinforcement learning from human feedback (RLHF), has proven successful in enhancing their capabilities. …”

DropLab: an automated magnetic digital microfluidic platform for sample-to-answer point-of-care testing-development and application to quantitative immunodiagnostics by Hu, Xuyang, Gao, Xiangyu, Chen, Songlin, Guo, Jinhong, Zhang, Yi

“…DropLab performs microbead-based ELISA in droplets to offer more sensitive and quantitative testing results. …”
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Evolving code with a large language model by Hemberg, Erik, Moskal, Stephen, O’Reilly, Una-May

“…Algorithms that use Large Language Models (LLMs) to evolve code arrived on the Genetic Programming (GP) scene very recently. …”
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Investigating Fine-Tuning of Language Models for Multiple-Choice Questions by Wang, Ivy A.

“…This thesis investigates the positional and contextual bias of large language models (LLMs) when used to answer multiple-choice questions (MCQs). …”
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Report on industrial orientation with Environmental Resources Management Pte Ltd (ERM) by Heng, Ming Xuan

“…Learning includes understanding the Environmental Baseline Study (EBS), ESA guidelines for State Land in Singapore, Environmental Health and Safety (EHS) guidelines for onshore and offshore gas and oil development, International Financial Corporation (IFC) guidelines for various environmental parameters, Singapore EHS legislation, and various research works amongst the many learning. …”
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Mallet: SQL Dialect Translation with LLM Rule Generation by Ngom, Amadou Latyr, Kraska, Tim

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Large Language Objects: The Design of Physical AI and Generative Experiences by Coelho, Marcelo, Labrune, Jean-Baptiste

“…Large language models (LLMs) have shown an unprecedented ability to generate text, images, and code, surpassing in many ways our own human capabilities and promising to have a profound impact on design and creativity. …”
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Developing intelligent chatbots powered by large language models by Ng, Kai Teck

“…This project centers on developing a system to assess the effectiveness of Large Language Models (LLMs) in augmenting the intelligence of chatbots for e-commerce sellers. …”
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Seroprevalence of antibodies to hepatitis E virus in the normal blood donor population and two aboriginal communities in Malaysia by Seow, Heng-Fong, Bali Mahomed, Nizam Malik, Mak, Joon-Wah, Riddell, Michaela A., Li, Fan, Anderson, David A.

“…The distribution of sample ELISA reactivities was also consistent with ongoing sporadic infection in the aboriginal communities, while there was no significant relationship between HEV exposure and age, sex, or malaria infection. …”
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