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Emerging foundation models in machine learning are models trained on vast amounts of data that have been shown to generalize well to new tasks.
Roberta: A robustly optimized bert pretraining approach
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The Topology ToolKit
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Topological data analysis
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Knowprompt: Knowledge-aware prompt-tuning with synergistic optimization for relation extraction
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Computational topology: an introduction
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Prompt-based prototyping with large language models
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Scalable topological data analysis and visualization for evaluating data-driven models in scientific applications
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Design guidelines for prompt engineering text-to-image generative models
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