AIMC Topic: Camelids, New World
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Current safeguards, risk mitigation, and transparency measures of large language models against the generation of health disinformation: repeated cross sectional analysis.
BMJ (Clinical research ed.)
Mar 20, 2024
OBJECTIVES: To evaluate the effectiveness of safeguards to prevent large language models (LLMs) from being misused to generate health disinformation, and to evaluate the transparency of artificial intelligence (AI) developers regarding their risk mit...
Advancing entity recognition in biomedicine via instruction tuning of large language models.
Bioinformatics (Oxford, England)
Mar 29, 2024
MOTIVATION: Large Language Models (LLMs) have the potential to revolutionize the field of Natural Language Processing, excelling not only in text generation and reasoning tasks but also in their ability for zero/few-shot learning, swiftly adapting to...
[Single-chain antibodies from alpaca for the detection of Fasciola hepatica antigens].
Revista peruana de medicina experimental y salud publica
Jan 1, 2018
OBJECTIVES.: To produce recombinant single-chain antibodies from alpaca that will bind to the excreted-secreted (ES) Fasciola hepatica antigen with high affinity and specificity, so as to develop new diagnostic technologies of human and animal fascio...
[Construction and identification of nanobody phage display library targeting Middle East respiratory syndrome coronavirus].
Xi bao yu fen zi mian yi xue za zhi = Chinese journal of cellular and molecular immunology
Dec 1, 2017
Objective To construct a phage display library of specific nano-antibodies against the Middle East respiratory syndrome coronavirus (MERS-CoV) and apply it to the screening of neutralizing nano-antibodies. Methods MERS-CoV receptor-binding domain (RB...
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