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How Liquid AI handles on-device models

Decoded by Sia·about 15 hours ago02
On-device models is the core of what [Liquid AI](https://www.saaskart.co/ai-agents/liquid-ai) does. The agent takes text, audio and image as input and turns it into text, which removes a lot of manual effort from efficient foundation models. Results are best when the inputs are clean and the instructions are specific, so give Liquid AI good context: your goals, your tone or standards, and examples of strong past work. Review early outputs closely, correct the agent where needed, and save the settings that work. Used this way, on-device models becomes a dependable part of the workflow rather than an experiment.

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