Cost Optimization for LLM Calls
Understand how prompt design impacts API costs and implement strategies for more economical LLM usage.
Why Optimize LLM Costs?
Large Language Models (LLMs) are powerful, but their usage comes with a cost. This cost is often tied directly to the amount of data processed.
Understanding how LLMs are priced and applying smart prompt engineering techniques can significantly reduce your operational expenses.
Tokens: The Currency of LLMs
Most LLM providers charge based on tokens. A token isn't just a word; it can be a part of a word, a single character, or even a space.
- Input Tokens: These are the tokens in the prompt you send to the LLM.
- Output Tokens: These are the tokens the LLM generates as its response.
Both input and output tokens contribute to the total cost of an API call.
All lessons in this course
- Prompt Compression Techniques
- Cost Optimization for LLM Calls
- Fine-tuning vs. Advanced Prompting