YoVDO

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

Offered By: The Machine Learning Engineer via YouTube

Tags

LLMOps Courses Data Science Courses Machine Learning Courses C# Courses Computer Vision Courses Quantization Courses ONNX Courses Phi-3 Courses

Course Description

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

Related Courses

Fine-tuning Phi-3 for LeetCode: Dataset Generation and Unsloth Implementation
All About AI via YouTube
LLM News: GPT-4, Project Astra, Veo, Copilot+ PCs, Gemini 1.5 Flash, and Chameleon
Elvis Saravia via YouTube
LLM Tool Use - GPT4o-mini, Groq, and Llama.cpp
Trelis Research via YouTube
LoRA Fine-tuning Explained - Choosing Parameters and Optimizations
Trelis Research via YouTube
Comparing LLAMA 3, Phi 3, and GPT-3.5 Turbo AI Agents for Web Search Performance
Data Centric via YouTube