Part 11/16:
Designed with a minimalist 60-million-parameter encoder-decoder, RLM eschews pre-training stages. Its training involves direct input-output pairs, with specially crafted number tokenization methods that encode floating-point values efficiently. The system's simplicity, combined with its ability to adapt rapidly—fine-tuning with as few as 500 examples—is a key advantage. This means that updates accommodate new hardware or workload patterns within hours, not weeks.