Nishi Ajmera

Lead Engineer

Publicis Sapient

Home2023 SpeakersNishi Ajmera

Speaker Bio

Nishi is a Lead Engineer working with Publicis Sapient. Web enthusiast with expertise in Javascript and frameworks, passionate about emerging new technologies. She is also very passionate about AI and loves sharing her knowledge and expertise with others. She is an ardent advocate for diversity in tech, leveraging her role as a Women Techmakers Ambassador to inspire and elevate women in the field.

Fun Fact: Outside work, she enjoys learning an Indian classical dance form named Kathak and is currently in the second year of her Diploma in Kathak.

Speaker Sessions


How To Train And Deploy Your Own Large Language Model On Android

30 mins
  • Track - Software
  • AI/ML
  • Nishi Ajmera

    Lead Engineer

    Publicis Sapient

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.

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