NVIDIA Unveils New AI Models: Phi-3 and Granite Code

Generative
AI
continues
to
reshape
industries
with
advanced
foundation
models
that
enhance
content
creation
and
data
interpretation.
According
to
the
NVIDIA
Technical
Blog,
the
tech
giant
has
introduced
two
new
model
families
under
its
NVIDIA
AI
Foundation:
Phi-3
and
Granite
Code.

Phi-3
Language
Models

The
Phi-3
series,
developed
in
collaboration
with
Microsoft,
encompasses
small
language
models
(SLMs)
optimized
for
high
performance
and
computational
efficiency.
These
models
excel
in
tasks
such
as
content
generation,
summarization,
question-answering,
and
sentiment
analysis.
Their
robust
reasoning
capabilities
make
them
ideal
for
various
applications
requiring
logical
deductions
and
accurate
responses.

Phi-3
Vision
Model

The
Phi-3
family
also
features
the
Phi-3
Vision
model,
a
4.2
billion
parameter
multimodal
model
designed
to
process
and
interpret
both
text
and
visual
data.
With
support
for
128K
tokens,
this
model
can
analyze
complex
visual
elements
within
images,
such
as
charts,
graphs,
and
tables,
making
it
highly
suitable
for
data-intensive
tasks.

Granite
Code

IBM
has
contributed
the
Granite
Code
models,
which
are
open
programming
models
designed
to
assist
with
various
coding
tasks.
These
models,
trained
on
116
programming
languages,
can
generate
code
examples,
identify
and
fix
errors,
and
provide
explanations
for
code
segments.
Their
performance
on
coding
benchmarks
is
state-of-the-art,
and
they
are
trained
on
license-permissible
data,
making
them
suitable
for
enterprise
use.

Optimized
for
Performance

Both
Phi-3
and
Granite
Code
models
are
optimized
for
latency
and
throughput
using
NVIDIA
TensorRT-LLM.
These
models
join
over
three
dozen
popular
AI
models
supported
by
NVIDIA
NIM,
a
microservice
designed
to
simplify
the
deployment
of
performance-optimized
models
at
scale.
NVIDIA
NIM
enables
a
significant
increase
in
the
number
of
enterprise
application
developers
who
can
contribute
to
AI
transformations.

NVIDIA
continues
to
collaborate
with
leading
model
builders
to
support
their
models
on
a
fully
accelerated
stack,
ensuring
optimal
performance
and
ease
of
deployment.

Get
Started

To
experience,
customize,
and
deploy
these
models
in
enterprise
applications,
visit
the

API
catalog.
With
free
NVIDIA
cloud
credits,
developers
can
start
testing
the
models
at
scale
and
build
a
proof
of
concept
by
connecting
their
applications
to
the
NVIDIA-hosted
API
endpoint
running
on
a
fully
accelerated
stack.

Image
source:
Shutterstock

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