To train the models, we use the run_train.py CLI script. The script supports various arguments. See the training/README.md file for more information, along with the hyperparameters used in the paper.

Abstract: Large Language Models (LLMs) have demonstrated remarkable capabilities in code-related tasks, raising concerns about their potential for automated exploit generation (AEG). This paper ...

KAT is a suite of tools that analyse jellyfish hashes or sequence files (fasta or fastq) using kmer counts. The following tools are currently available in KAT: kmer: Produces a k-mer hash containing ...

Google's AI Gemini Agent Mode, now offers 1080p and 4K output, so you design crisp visuals and automate routine tasks easily ...

This beginner-friendly tutorial shows how to create clear, interactive graphs in GlowScript VPython. You’ll learn the basics of setting up plots, graphing data in real time, and customizing axes and ...