Dive into the practicalities of building and deploying large language models (LLMs) on Android in this hands-on session. We’ll cover the essentials of LLMs for tasks like text generation and translation, train a model using Keras and TensorFlow Lite, and conclude with a live demo of deploying this model to an Android device. Walk away ready to infuse your apps with the power of advanced language processing.
The Why: As we all know, language models such as GPT have taken the world by storm, and it is quite evident that AI will be an integral part of our day-to-day lives, especially for engineers. Understanding language models, how they work, and how they can be leveraged to create more efficient and innovative solutions is crucial for engineers to remain competitive in the ever-evolving technological landscape.
Session Key Takeaways:
- Understand the fundamentals of large language models and their capabilities in text generation, translation, and question answering
- Gain practical knowledge of training an LLM using Keras and TensorFlow Lite on a text dataset
- Learn how to deploy the trained LLM to an Android device for real-time language processing in mobile applications
This session is for…whether you’re an Android developer seeking to enhance your apps with language processing capabilities, a machine learning engineer eager to explore the possibilities of LLMs on mobile platforms, or a data scientist investigating the potential of LLMs across diverse domains, this session is for you.
