LLMs Fine Tuning and Inferencing Using ONNX Runtime - Workshop

Explore an end-to-end example of fine-tuning and inferencing Large Language Models (LLMs) using ONNX Runtime in this comprehensive workshop. Dive into the process of adapting latest LLMs like LLAMA, Mistral, and Zephyr for real-world applications. Learn how to leverage existing technologies for quick and simple setup. Gain hands-on experience using AzureML with the Azure Container for PyTorch (ACPT) environment, which includes cutting-edge tools like Deepspeed for distributed training and LoRA for efficient fine-tuning. Discover the capabilities of ONNX Runtime as a cross-platform inference and training machine-learning accelerator, understanding its potential for faster execution and portability across frameworks and devices.