ONNX Based Generative AI LLMs in Java with Project Babylon

Explore how to develop and deploy Large Language Models using Java through this conference presentation that demonstrates the integration of ONNX (Open Neural Network Exchange) format with Project Babylon's code reflection capabilities. Learn about ONNX as a universal format for representing machine learning models and discover how Java, traditionally not associated with AI modeling, can be effectively used to create ONNX models instead of the typical Python-based approaches using PyTorch, TensorFlow, or scikit-learn. Examine the practical implementation of generative AI LLMs in Java, understanding how Project Babylon enables code reflection for model development. Follow along with a comprehensive Java example that illustrates the complete process of building an LLM, transforming it into ONNX format, and executing the resulting model across diverse platforms, demonstrating Java's potential in the machine learning and AI development ecosystem.