A Guide to Token-Efficient Data Prep for LLM Workloads
SMRTR summary
Poor data serialization wastes 40-70% of AI tokens through formatting overhead, inflating costs. Eliminating redundancy, optimizing precision, and flattening structures can reduce context size and costs by 60-70%.
SMRTR provides this summary for quick context. The original article belongs to Daily.dev.
Read the original article