How do we optimize token usage for cost and performance?
Token efficiency saves time and money.
How It Works:
Shorten prompts by removing redundancy, use compact templates, and leverage embeddings for long-context tasks to minimize token counts.
Key Benefits:
- Lower API bills
- Faster response times
- Fits more context within limits
Real-World Use Cases:
- Summarization fragments instead of full texts
- Reusable prompt headers for multiple calls
FAQs
How measure token reduction?
When use embeddings?
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