Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

YouTube

LLMOPs: Multimodal Prompting and Inference with Phi-3 Vision 128K Instruct on CPU - ONNX 4-Bit Quantization in C#

The Machine Learning Engineer via YouTube

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore multimodal prompting and inference on CPU using Phi 3 Vision 128K Instruct model quantized to 4 bits in ONNX format with C# in this 23-minute video tutorial. Learn how to implement LLMOPs (Large Language Model Operations) for data science and machine learning applications. Access the accompanying code on GitHub to follow along and practice the demonstrated techniques. Gain insights into optimizing inference for resource-constrained environments and leveraging advanced language models for vision-based tasks.

Syllabus

LLMOPs: Inference en CPU Phi3 Vision 128k Intruct ONNX 4bits in C# #datascience #machinelearning

Taught by

The Machine Learning Engineer

Reviews

Start your review of LLMOPs: Multimodal Prompting and Inference with Phi-3 Vision 128K Instruct on CPU - ONNX 4-Bit Quantization in C#

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.