Token optimization using Python for prompt development

Dr. Magesh Kasthuri, writing in Open Source For You, describes a Python framework that analyzes an English prompt, removes duplicate or low-value text, and returns a shorter prompt that preserves the original's behavior, aiming to reduce token consumption and associated costs and latency.

Dr. Magesh Kasthuri writes in Open Source For You about building a Python framework that takes an English prompt, analyzes it, strips duplicate or low-value text, and returns a shorter prompt that behaves like the original. Tokens are the units of text an LLM consumes, and they set cost, latency, rate limits, and how much …