Liquid AI Explains Post-Training for On-Device Agentic Models

Liquid AI's post-training team, including Maxime Labonne, Edoardo Mosca, and Jiahui Wang, discusses what makes an on-device agentic model useful. The post says post-training shapes how models learn to use tools, follow instructions, handle longer contexts, and recover when tasks become complex.