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Perplexity AI releases new research on how to improve search-augmented answer accuracy through post-training.

MeNews
ME News: On April 23 (UTC+8), Perplexity AI recently released a new study detailing how it improves the accuracy of search-enhanced answers through post-training models. The study points out that its SFT + RL training process enhances search quality, citation quality, instruction adherence, and efficiency. The article argues that using the Qwen model can achieve or surpass GPT models in factual accuracy at a lower cost. (Source: InFoQ)
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