Augmentation

Improving Retrieval Augmented Language Models: Self-Reasoning and Adaptive Augmentation for Conversational Systems

Large language models often struggle with delivering precise and current information, particularly in complex knowledge-based tasks. To beat these hurdles, researchers are investigating methods to boost these models by integrating them with external data...

Artificial intelligence for augmentation and productivity

The MIT Stephen A. Schwarzman College of Computing has awarded seed grants...

AI as Artist’s Augmentation

AI as Artist’s AugmentationArt’s unstoppable revolution — Art is a necessity for disruption. Art has a desire for disruption. Art should get disrupted. Dadaists, Surrealists, Oulipo, Fluxus, Postmodernists, and Conceptualists — all spoke...

Group-by data augmentation for e-commerce datasets Motivation Data augmentation ingredients KeyGenerator Elements of model design Results Further evaluation and future work Conclusion

Introducing a latest training strategy for learning user preferences to multi-attribute offers based on a multi-task approachThe most important intuition is as follows: the group-by training forces a model to make sense of all...

AI in Medicine Must Prioritize the Other ‘A’: Augmentation

AI’s tantalizing promise – and its missteps – are more apparent than ever, as OpenAI’s ChatGPT makes headlines for its ability to cheat on college exams or conduct an imposter job interview. But, for...

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