GenBench: Mapping out the Landscape of Generalization Research

About this episode

From ChatGPT to Google Gemini, large language models are now increasingly important in our everyday lives. These models are part of the field of natural language processing – or ‘NLP’ – which studies how machines understand and generate human language. Most NLP systems are built using machine learning, and vast amounts of language data are used as training material. Afterwards, a successfully trained model should be able to handle new scenarios. This ability is called ‘generalization’. For large language models that generalize well, a conversation about a topic it hasn’t been trained on, such as new scientific discoveries, should not be a problem. Read More

Original Article Reference

Summary of the paper ‘A taxonomy and review of generalization research in NLP’, in Nature Machine Intelligence, doi.org/10.1038/s42256-023-00729-y

Contact

For further information, you can connect with Dieuwke Hupkes at dieuwkehupkes@meta.com

 

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