Character.AI Enhances AI Inference Efficiency, Reduces Costs by 33X


Character.AI Enhances AI Inference Efficiency, Reduces Costs by 33X

Character.AI,
a
full-stack
AI
company,
has
unveiled
a
series
of
groundbreaking
advancements
in
AI
inference
technology.
These
innovations
are
set
to
make
large
language
models
(LLMs)
more
efficient
and
cost-effective,
according
to
a
recent
blog
post
by
Character.AI.

Breakthroughs
in
Inference
Technology

Character.AI,
which
aims
to
build
toward
Artificial
General
Intelligence
(AGI),
has
focused
on
optimizing
the
inference
process—the
method
through
which
LLMs
generate
responses.
The
company
has
developed
new
techniques
around
the
Transformer
architecture
and
“attention
KV
cache,”
which
enhances
data
storage
and
retrieval
during
text
generation.
These
advancements
have
significantly
improved
inter-turn
caching
as
well.

Character.AI
claims
to
serve
approximately
20,000
queries
per
second,
which
is
about
20%
of
the
request
volume
handled
by
Google
Search,
at
a
cost
of
less
than
one
cent
per
hour
of
conversation.
This
efficiency
is
achieved
through
their
proprietary
innovations,
making
it
much
cheaper
to
scale
LLMs
globally.

Cost-Efficiency
Achievements

Since
its
launch
in
2022,
Character.AI
has
managed
to
reduce
its
serving
costs
by
at
least
33
times.
The
company’s
current
cost
to
serve
traffic
is
13.5
times
less
than
what
it
would
be
using
the
most
efficient
leading
commercial
APIs.
This
cost-efficiency
is
crucial
for
the
scalability
of
consumer
LLMs.

If
an
AI
company
were
to
serve
100
million
daily
active
users,
each
using
the
service
for
an
hour
per
day,
the
serving
costs
would
amount
to
$365
million
per
year
at
the
current
rate
of
$0.01
per
hour.
In
contrast,
a
competitor
using
leading
commercial
APIs
would
incur
costs
of
at
least
$4.75
billion
annually.
These
figures
underscore
the
significant
business
advantages
provided
by
Character.AI’s
inference
improvements.

Future
Implications

The
improvements
in
inference
efficiency
not
only
make
it
feasible
to
scale
LLMs
to
a
global
audience
but
also
pave
the
way
for
creating
a
profitable
business-to-consumer
(B2C)
AI
enterprise.
Character.AI
continues
to
iterate
on
these
innovations,
aiming
to
make
their
advanced
technology
accessible
to
consumers
worldwide.

For
more
detailed
information,
you
can
read
the
full
technical
blog
post

here
.

Image
source:
Shutterstock

Comments are closed.