Skill

Token Optimization

Data Science, Analytics and AI/ML

Token optimization refers to techniques for reducing the number of tokens (units of text) processed by large language models to lower costs, improve response speed, and stay within context window limits. Practitioners working with AI systems use strategies like prompt compression, caching, and efficient formatting to make LLM usage more efficient at scale.

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• Prompt Engineering
• LLM Fine-Tuning
• Tokenization