YoVDO

Scalable Training of Language Models Using Ray, JAX, and TPUv4

Offered By: Anyscale via YouTube

Tags

Language Models Courses Machine Learning Courses Cloud Computing Courses Cohere Courses Scalability Courses Distributed Training Courses JAX Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore the challenges and design decisions associated with developing a scalable training framework for large language models in this 34-minute conference talk from Ray Summit 2022. Delve into the quantitative analysis of efficiency improvements resulting from adopting new software and hardware solutions, including Ray, JAX pjit, and TPUv4. Learn about the distributed training strategies required for modern large language models due to their size, and gain insights into the rapid developments on both software and hardware frontiers that address the challenges of efficient and robust training.

Syllabus

Scalable training of language models using Ray, JAX, and TPUv4 at Cohere


Taught by

Anyscale

Related Courses

JAX Crash Course - Accelerating Machine Learning Code
AssemblyAI via YouTube
NFNets - High-Performance Large-Scale Image Recognition Without Normalization
Yannic Kilcher via YouTube
Coding a Neural Network from Scratch in Pure JAX - Machine Learning with JAX - Tutorial 3
Aleksa Gordić - The AI Epiphany via YouTube
Diffrax - Numerical Differential Equation Solvers in JAX
Fields Institute via YouTube
JAX- Accelerated Machine Learning Research via Composable Function Transformations in Python
Fields Institute via YouTube