How can I optimize token usage in my AI model?
To optimize token usage, consider techniques like reducing input length, using efficient tokenization, and pruning unnecessary tokens.
What are some specific strategies for reducing input length?
You can summarize input data, remove stop words, or use abbreviations to reduce the overall length.
Are there tools available for efficient tokenization?
Yes, tools like Hugging Face's Tokenizers library and SentencePiece can help with efficient tokenization.
How do I know if my token optimization is effective?
You can measure the performance of your model before and after optimization by comparing metrics like accuracy and processing time.
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