LLMOps: Quantization Models and Inference with ONNX Generative Runtime
Offered By: The Machine Learning Engineer via YouTube
Course Description
Overview
Explore the world of LLMOps through a 30-minute video focusing on quantization models and inference using ONNX Generative Runtime. Learn how to install ONNX runtime with GPU support and perform inference with a generative model, specifically using a Phi3-mini-4k quantized to 4int. Dive into the process of converting an original Phi3-mini-128k into a 4int quantized version using the ONNX runtime. Access the accompanying notebook on GitHub to follow along and gain hands-on experience in this cutting-edge area of data science and machine learning.
Syllabus
LLMOps: Quantization models & Inference ONNX Generative Runtime #datascience #machinelearning
Taught by
The Machine Learning Engineer
Related Courses
Digital Signal ProcessingÉcole Polytechnique Fédérale de Lausanne via Coursera Principles of Communication Systems - I
Indian Institute of Technology Kanpur via Swayam Digital Signal Processing 2: Filtering
École Polytechnique Fédérale de Lausanne via Coursera Digital Signal Processing 3: Analog vs Digital
École Polytechnique Fédérale de Lausanne via Coursera Digital Signal Processing 4: Applications
École Polytechnique Fédérale de Lausanne via Coursera