Introducing RAFT – A New Paradigm for Adapting Language Models to Specialized Domains
Language models have come a long way, demonstrating impressive capabilities across a wide range of tasks including summarization, question answering, translation, and conversation. These models are trained on vast amounts of general text data, enabling them to develop a broad understanding of human language and patterns. However, despite their general knowledge, they often fall short […]
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