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This function selects or removes features from a dfm or fcm, based on feature name matches with pattern. The most common usages are to eliminate features from a dfm already constructed, such as stopwords, or to select only terms of interest from a dictionary.

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llmtokencounter: manage gpt-3, gpt-4, claude, and other llm tokens efficiently. real-time, accurate counts for optimal language model usage.

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This page discusses what tokens and their counts are and how they are an important part of OpenAI models.

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free word online counter for journalists, students, writers, researchers.

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visualize and simulate turing machines as animated state diagrams. create and share your own machines using a simple format. examples and exercises are included.

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