Large Language Models in Cybersecurity
Threats, Exposure and Mitigation
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Fundamental Limitations of Generative LLMs
Given the impressive performances of LLM-derived tools across a range of tasks considered all but impossible for computers until recently, the capabilities of LLMs seem limitless. However, there are some funda...
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Adapting LLMs to Downstream Applications
By themselves, pretrained Large Language Models (LLMs) are interesting objects of study. However, they need to undergo a subsequent transfer learning phase to make them useful for downstream applications. While h...
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From Deep Neural Language Models to LLMs
Large Language Models (LLMs) are scaled-up instances of Deep Neural Language Models—a type of Natural Language Processing (NLP) tools trained with Machine Learning (ML). To best understand how LLMs work, we must ...
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Chapter
Overview of Existing LLM Families
While the general public discovered Large Language Models (LLMs) with ChatGPT—a generative autoregressive model, they are far from the only models in the LLM family. Various architectures and training regiments o...
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Article
Hypo-osmotic-like stress underlies general cellular defects of aneuploidy
Aneuploidy, which refers to unbalanced chromosome numbers, represents a class of genetic variation that is associated with cancer, birth defects and eukaryotic micro-organisms1–4. Whereas it is known that each an...
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Article
Cytosolic proteostasis through importing of misfolded proteins into mitochondria
Proteins prone to aggregation in yeast are imported into mitochondria under stress conditions, suggesting that mitochondrial import and proteolysis may help to disaggregate proteins in the cytoplasm.
