Amazon SageMaker 上的生成式人工智能

©

2023,

Amazon

Web

Services,

Inc.

or

its

affiliates.©

2023,

Amazon

Web

Services,

Inc.

or

its

affiliates.Generative

AIon

Amazon

SageMakerBenoit

de

PatoulAI/ML

Specialist

Solutions

Architect©

2023,

Amazon

Web

Services,

Inc.

or

its

affiliates.Wework

backwards

from

our

customers

and

wevalue

your

feedback!©

20232,

Amazon

Web

Services,

Inc.

or

its

affiliates.What

is

Generative

AI3Generative

AI

is

the

fastest

growing

trend

in

AI4Days

since

repository

was

startedGithubStars400800

1,200

1,600

2,000

2,4002,8003,20040,000Stable

DiffusionEthereumBitcoinDeveloper

adoptionStable

Diffusion

accumulated

40k

starson

GitHub

in

its

first

90

daysConsumer

adoptionChatGPT

reachedthe

1

millionusers

mark

in

just

5

days1M500kChatGPT5

daysInstagram75

daysSpotify150

days0255012515075

100Days

since

launchStylized

pathWhat

is

generative

AI?Reduces

timeand

costtodevelop

ML

models

andinnovate

fasterApplicable

to

many

use

caseslike

text

summarization,question

answering,

digitalartcreation,

code

generation,

etc.Powered

by

foundation

modelspre-trained

on

large

sets

ofdatawith

several

hundredbillionparametersTasks

canbe

customized

forspecific

domains

withminimal

fine-tuningAI

that

can

produce

originalcontent

closeenoughtohuman

generated

contentfor

real-world

tasksGenerative

AI

is

emerging

across

a

range

of

domains

…ProductivityText

generationChatVirtual

assistantSummarizationText

extractionSearchCodegenerationImagegenerationImageclassificationCreatemusicGeneratevideos6Project

yProject

xProject

xWhat

is

a

Foundation

ModelPreprocessingTask-specificModel

TrainingTask-specificDeploymentModelValidation

/TestingTask-specificDeploymentConventionalML

flowMLflow

withFoundationModelsHyper-parameterTuning…PreprocessingFoundationModel

Training/

TuningTask-specificModel(s)FoundationModelFinetuningTask-specificDeploymentDataDataIteration(s)7©

20232,

Amazon

Web

Services,

Inc.

or

its

affiliates.Generative

AI

in

AWS12©

2023,

Amazon

Web

Services,

Inc.

or

its

affiliates.Option

1:Foundation

modelsavailable

throughSageMakerJumpStart13You

can

try

out

models

for

free..!Machine

Learning

Hub

for

SageMakerBrowse

through

~400

contents

including,

built-in

algorithms

with

pre-trainedmodels,

(New)

Foundation

Models,

solution

templates,

and

example

notebooksPre-built

training

and

inference

scriptsCompatible

with

SageMaker

and

configurable

with

custom

datasetUI

as

well

as

API

based

machine

learningUse

UI

for

single

click

model

deployment

or

API

for

Python

SDK

based

workflowNotebook

with

examplesJumpStart

lets

you

jump

into

notebook

to

use

selected

model

with

examplestoguide

customers

through

entire

ML

workflow(New)

Share

and

collaborate

within

an

organizationShare

models

and

notebookswith

others

within

your

organization,

and

allow

themto

trainwiththeir

own

data

or

deploy

as-isforinferencingSageMakerJumpStartEasilyaccess

ML

assets

andquickly

bring

MLapplications

tomarketFoundation

models

with

SageMaker

JumpStart:How

it

worksAmazon

SageMakerJumpStartAccess

and

try

out

public

andproprietary

FMs,

and

customizeand

integrate

them

into

yourgenerative

AI

applicationsDeployDeploy

the

modeland

run

inferencefor

your

generativeAI

use

caseBrowseBrowse

publicand

proprietary

FMsExperimentExperiment

with

FMsbefore

choosing

amodelfor

deploymentCustomizeCustomize

selectedFM

with

your

owndataset

withouttraining

from

scratch15Foundation

models

available

on

SageMaker

JumpStartfor

self-managed

accessModelsCoheregenerate-medTasksText

generationInformationextractionQuestionansweringSummarizationModelsText2ImageUpscalingTasksGeneratephoto-realisticimages

fromtext

inputImprove

qualityof

generatedimagesFeaturesFine-tuning

onSD

2.1

modelModelsFlan

T-5

models(8

variants)DistilGPT2,

GPT2Bloom

models(3

variants)TasksMachinetranslationQuestionansweringSummarizationAnnotation

Data

generationModelsAlexaTM20BTasksMachinetranslationQuestionansweringSummarizationAnnotation

Data

generationModelsJurassic-1Grande

17BTasksText

generationLong-formgenerationSummarizationParaphrasingChatInformationextractionQuestionansweringClassificationModelsLyra-Fr10BTasksText

generationKeywordextractionInformationextractionQuestionansweringSummarizationSentimentanalysisClassificationPublicly

available Proprietary

models163

ways

to

use

foundation

models

with

SageMakerJumpStartSageMaker

StudioOne-step

deploySageMakerNotebooks17AWS

ManagementConsole

PreviewOption

2

-

Amazon

BedrockThe

easiest

way

to

build

andscale

generative

AIapplications

with

FMsNEW18©

2023,

Amazon

Web

Services,

Inc.

or

its

affiliates.Amazon

Bedrock

key

benefitsEnhance

your

dataprotection

usingcomprehensive

AWSsecurity

capabilitiesAcceleratedevelopment

ofgenerative

AIapplications

usingFMs

through

an

API,without

managinginfrastructure19ChooseFMs

fromAI21

Labs,

Anthropic,Stability

AI,

andAmazon

to

find

theright

FM

for

your

usecasePrivately

customizeFMsusing

yourorganization’s

dataUse

AWS

tools

andcapabilities

that

youare

familiar

with

todeploy

scalable,reliable,

and

securegenerative

AIapplicationsBedrock

supports

a

wide

range

of

foundation

modelsTitan

TextTitanEmbeddingsFMs

from

AmazonFMsfrom

AI21

Labs,

Anthropic,and

Stability

AIJurassic-2ClaudeStabl