Google’s Flan AI Makes Language Models Smarter Without More Data
SMRTR summary
Google's new Flan AI technique dramatically improves language model performance by training them on 1,836 different instruction-based tasks, including chain-of-thought reasoning examples, without requiring additional training data. The resulting Flan-PaLM 540B model achieves state-of-the-art results across multiple benchmarks, scoring 75.2% on the challenging MMLU test and significantly outperforming the original PaLM model by 9.4% on average.
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