Datatrained lms
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Datatrained lms
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WebLMs can also capture the semantic and syntactic variations of natural language by using different prompting strategies, such as providing context, examples, keywords, etc. However, model-based methods also have some challenges. First, they require access to large-scale pre-trained LMs, which are costly and slow to use. Second, they may generate WebSetting up your environment
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