Original subtitles

welcome to the Egging Phase course

this course

has been designed to teach you all about the

egging phasical system

to use the data set on Model Hub

as well as all open source libraries

here is the table of contents

as you can see

is divided in three sections

which become progressively more advanced

at this stage

the first two sections have been released

so first we'll teach you

the basics of how to use the transformer model

find your need on your own dataset

and share the result with the community

so second

we'll dive deeper into our libraries and teach you

how to tackle any NLP task

we are actively working on the last one

a note to have been

treated for you for the spring of 2022

the first chapter requires no technical knowledge

and is a good introduction to learn what transformers

model can do

and all we could be reviews to you are your company

the next chapters recall your good knowledge of Titan

and some basic knowledge of machine learning

and deep learning

if you don't know what the training and validation set

are or what gradient decent means

you should look at an introductory course

such as the ones published by Deep Learning the Tai

or Faster Tai

it's also best if you have some basics in one

deploning framework

by touch or turns a flow

each part of the material introduced in this course

as a version in both verse frameworks

so we'll be

able to pick the one you are most comfortable with

this is the team that developed this course

I'll now let

each of the speakers introduce themselves briefly

hi my name is Matthew

and I'm a machine learning engineer at huggingface

I work on the open source team

and I'm responsible for maintaining

particularly the Tensorflow code there

previously I was a machine learning engineer at parsley

who have recently been acquired by Automatic

and I was a postdoctoral researcher before that at

Trinity College Dublin in Ireland

working on computational genetics and retinal disease

hi I'm Lysander

I'm a machinery

engineer at Hugging Face and I'm specifically part

of the open source team

I've been a hugging face for a few years now

and alongside my team members

I've been

working on most of the tools that you'll get to see in

this course

hi I'm Silva

I'm a research engineer at tuggingface

and one of the main maintainers

of the Transformers library

previously I worked at Faster AI

where I helped develop the Faster AI library

as well as an online book

before that

I was a math and computer science teacher in France

hi

my name is Sasha and I'm a researcher at huggingface

working on the ethical

environmental

and social impacts of machine learning models

previously I was a postdoctoral researcher

at Milan University of Montreal

and I also worked as an applied AI

researcher for the United Nations

Global Pulse

I've been involved in projects such as Code Carbon

and the Machine Learning Impacts Calculator

to measure the carbon footprint of machine learning

hi I'm Mervy and I'm a developeradvicat Huggingphase

previously I was working as a machine learning engineer

building NLP tools and chatbots

currently I'm working to improve the hub

and democratize machine learning

hello everyone

my name is Lucille

and I'm a machine learning engineer at erginface

to tell you in two sentences who I am

I work on the development on support

of open source tools

and I also participate in several research projects

in the field of

natural language posting

good day there

I'm Lewis

and I'm a machine learning engineer in the open

source team at huggingface

I'm passionate about developing tools

for the NLP community

and you'll see me at many of Huggingface's outreach

activities

before joining huggingface

I spent several years

developing machine learning applications

for startups and enterprises in the domains of NLP

topological data analysis and time series

in a former life I was a theoretical physicist

where I research particle collisions at the Large

Hadron Collider and son

hey I'm Leandro

and I'm a machine learning engineer in the

open service team at huggingface

before joining huggingface

I worked as a data scientist in Switzerland

and have taught data science at university