Все публикации

1:38:54

Intro to AI Series: Parallel Training Methods for AI

1:26:02

Intro to AI Series: Introduction to LLM Prompt Engineering

1:27:46

Overview of DAOS and Best Practices

1:29:03

Intro to AI Series: Introduction to Large Language Models (LLM)

1:39:16

Intro to AI Series: Advanced Topics in Neural Networks

1:26:37

Intro to AI Series: Introduction to Neural Networks

1:28:39

Intro to AI Series: Intro to Artificial Intelligence on Supercomputers

0:57:43

Intel Performance Profiling Tools on Aurora

0:59:05

chipStar: a HIP implementation for Aurora

2:04:22

Getting Started on Polaris Bootcamp

0:53:41

ALCF AI Testbed Training: Cerebras SDK for HPC Research and Applications

0:05:46

ALCF AI Testbed Training: Huggingface to CS 2 Overview

0:09:59

ALCF AI Testbed Training: Job Monitoring and Profiling

0:55:43

ALCF AI Testbed Training: Efficient Training with Cerebras and Scaling Laws

0:48:46

ALCF AI Testbed Training: Cerebras CS-2: Getting Started

0:16:47

ALCF AI Testbed Training: Hardware and Systems

0:04:38

ALCF AI Testbed Training: Introduction

0:33:55

ALCF AI Testbed Training: Introducing 2.2.1

0:12:38

ALCF AI Testbed Training: Software and Programming

0:06:20

ALCF AI Testbed Training: Final Remarks, Q&A

0:12:38

ALCF AI Testbed Training: Sparsity Accelerated Training

0:20:30

ALCF AI Testbed Training: Roadmap

0:26:43

ALCF AI Testbed Training: How to: Model Porting, Layer API, and Dataloaders

0:26:15

ALCF AI Testbed Training: GroqRack Compute Cluster: Getting Started