Cut token consumption by 88% with deterministic image routing (P50: 59ms) [P]
Recently I have been working on image attachment integration for my VEX agent runtime, and I came up with an idea for a significant optimization step. Typically images attached to LLM context as raw bytes (base64 encoded
![Cut token consumption by 88% with deterministic image routing (P50: 59ms) [P]](https://preview.redd.it/al2mxvvv12sh1.jpeg?width=640&crop=smart&auto=webp&s=2a4df87f0f317133aa9c188ca83213696c0d321e)
📄
This source provides headlines only. Use the button below to read the complete article on the original site.
📰 Read the original article on r/MachineLearning
Originally published by r/MachineLearning. Aggregated on AIWithGhost for educational purposes — full credit and traffic to the original publisher.