200+ Model Optimization Online Courses for 2024 | Explore Free Courses & Certifications

Intro to Model Optimization in Machine Learning

Open Data Science

Bringing Choice, Automation and Performance to ML Deployment with Apache TVM and the OctoML Platform

Yannic Kilcher

Movement Pruning - Adaptive Sparsity by Fine-Tuning

Data Science Dojo

Model Optimization - Series Conclusion - Introduction to Text Analytics with R

The Machine Learning Engineer

BitNet.cpp - CPU Inference Framework for 1-bit Large Language Models

MLOps World: Machine Learning in Production

A Gentle Introduction to Sparsity with a Concrete Example

Optimizing Neural Networks for Efficient Data Processing

Trelis Research

How to Pick a GPU and Inference Engine for Large Language Models

Neural Magic

Unlock Faster and More Efficient LLMs with SparseGPT - Neural Magic

Discover AI

LoftQ: Understanding LoRA-Fine-Tuning-aware Quantization for LLMs

EDGE AI FOUNDATION

MobileLLM - Optimizing Sub-billion Parameter Language Models for On-Device Use Cases

SK AI SUMMIT 2024

Squash - 딥러닝 서비스 추론 속도 개선기

SK AI SUMMIT 2024

하드웨어를 이해하는 AI 모델 최적화 기술과 그 성공사례

Transformers that Transform Well Enough to Support Near-Shallow Architectures - Stanford CS25 Lecture

Intel Microcredential

Intel® Edge AI for IoT Developers

Model Optimization Courses and Certifications

Intro to Model Optimization in Machine Learning

Bringing Choice, Automation and Performance to ML Deployment with Apache TVM and the OctoML Platform

Movement Pruning - Adaptive Sparsity by Fine-Tuning

Model Optimization - Series Conclusion - Introduction to Text Analytics with R

BitNet.cpp - CPU Inference Framework for 1-bit Large Language Models

A Gentle Introduction to Sparsity with a Concrete Example

Optimizing Neural Networks for Efficient Data Processing

How to Pick a GPU and Inference Engine for Large Language Models

Unlock Faster and More Efficient LLMs with SparseGPT - Neural Magic

LoftQ: Understanding LoRA-Fine-Tuning-aware Quantization for LLMs

MobileLLM - Optimizing Sub-billion Parameter Language Models for On-Device Use Cases

Squash - 딥러닝 서비스 추론 속도 개선기

하드웨어를 이해하는 AI 모델 최적화 기술과 그 성공사례

Transformers that Transform Well Enough to Support Near-Shallow Architectures - Stanford CS25 Lecture

Intel® Edge AI for IoT Developers