Don't forget to say "please".

1. 1Read the article on Long-running Claude for scientific computing to understand the context
2. 2Analyze your current LLM interactions to identify unnecessary tokens
3. 3Optimize your prompts by removing unnecessary words like 'please' and 'thank you'
4. 4Test the optimized prompts to measure the impact on resource usage and costs
5. 5Apply the optimized approach to your future LLM interactions

Developers and data scientists working with LLMs can benefit from this knowledge to improve their workflow efficiency and reduce costs

💡 Removing unnecessary tokens from LLM prompts can help reduce resource usage and costs

Optimize your LLM interactions by ditching unnecessary tokens like 'please' and 'thank you'!