Researchers introduced Self-Search Reinforcement Learning (SSRL), a method that teaches language models to simulate web searches to better retrieve information from their own parameters. SSRL fine-tuning improved accuracy on multiple question-answering benchmarks and even boosted performance when paired with real web search tools. Read our summary of the paper in The Batch: hubs.la/Q03VV2d-0

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