How to Deploy Large Language Models on Android with TensorFlow Lite | HackerNoon

Integrating Large Language Models (LLMs) into mobile apps enhances features like chatbots and personalized content, but deploying them on Android poses resource and processing challenges.

To effectively integrate LLMs on Android, developers need to set up TensorFlow Lite by including the appropriate dependencies in the build.gradle file and loading pre-trained models.

Handling inference in an app can be achieved by formatting input data correctly, allowing the model to produce outputs that can be utilized for various applications.

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