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©
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
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