Introducing FLAN: More generalizable Language Models with Instruction Fine-Tuning

Posted by Maarten Bosma, Research Engineer and Jason Wei, AI Resident, Google Research For a machine learning model to generate meaningful text, it must have a large amount of knowledge about the world as well as the ability to abstract. While language models that are trained to do this are increasingly able to automatically acquire this knowledge as they scale, how to best unlock this knowledge and apply it to specific real-world tasks is not clear. One well-established technique for doing thi...

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