This AI Paper from CMU and Apple Unveils WRAP: A Game-Changer for Pre-training Language Models with Synthetic Data

Large Language Models (LLMs) have gathered a massive amount of attention and popularity among the Artificial Intelligence (AI) community in recent months. These models have demonstrated great capabilities in tasks including text summarization, question answering, code completion, content generation, etc.  LLMs are frequently trained on inadequate web-scraped data. Most of the time, this data is […]

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