Applied Sciences,
Journal Year:
2024,
Volume and Issue:
14(7), P. 3036 - 3036
Published: April 4, 2024
ChatGPT
plays
significant
roles
in
the
third
decade
of
21st
Century.
Smart
cities
applications
can
be
integrated
with
various
fields.
This
research
proposes
an
approach
for
developing
large
language
models
using
generative
artificial
intelligence
suitable
small-
and
medium-sized
enterprises
limited
hardware
resources.
There
are
many
AI
systems
operation
development.
However,
technological,
human,
financial
resources
required
to
develop
impractical
enterprises.
In
this
study,
we
present
a
proposed
reduce
training
time
computational
cost
that
is
designed
automate
question–response
interactions
specific
domains
smart
cities.
The
model
utilises
BLOOM
as
its
backbone
maximum
effectiveness
We
have
conducted
set
experiments
on
several
datasets
associated
validate
model.
Experiments
English
Vietnamese
languages
been
combined
low-rank
adaptation
cost.
comparative
experimental
testing,
outperformed
‘Phoenix’
multilingual
chatbot
by
achieving
92%
performance
compared
‘ChatGPT’
benchmark.
SSRN Electronic Journal,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Jan. 1, 2024
This
research
paper
explores
the
transformative
possibilities
arising
from
integration
of
ChatGPT,
an
advanced
language
model,
into
domain
intelligent
manufacturing.
In
face
rapid
changes
in
manufacturing
landscape,
there
is
increasing
demand
for
adaptive
and
systems
to
elevate
efficiency,
productivity,
decision-making
processes.
study
investigates
incorporation
ChatGPT's
or
Bard
cutting-edge
natural
processing
capabilities
various
forefront
aspects
establish
a
novel
paradigm
The
ChatGPT
processes
presents
versatile
approach
tackle
challenges
seize
opportunities
within
modern
production
systems.
A
pivotal
aspect
this
lies
augmenting
human-machine
collaboration
factory.
understanding
facilitates
seamless
communication
between
human
operators
automated
systems,
fostering
more
intuitive
responsive
environment.
Additionally,
delves
utilization
predictive
maintenance
facilities.
Through
analysis
historical
data
real-time
information,
can
provide
insights
potential
equipment
failures,
enabling
proactive
strategies
that
mitigate
downtime
optimize
resource
utilization.
also
application
supply
chain
management.
model's
capacity
process
vast
amounts
textual
contributes
improved
forecasting,
inventory
optimization,
risk
results
resilient
agile
ecosystem
capable
adapting
dynamic
market
conditions.
Furthermore,
role
quality
control
defect
detection.
model
analyze
intricate
patterns
data,
identifying
anomalies
defects
with
high
degree
accuracy.
Integrating
assurance
ensures
higher
product
quality,
reducing
waste,
enhancing
overall
customer
satisfaction.
findings
highlight
revolutionize
processes,
propelling
industry
towards
greater
adaptability,
competitiveness
rapidly
evolving
global
market.
Journal of Global Information Management,
Journal Year:
2024,
Volume and Issue:
32(1), P. 1 - 29
Published: Jan. 10, 2024
This
study
aims
to
identify
emerging
topics,
themes,
and
potential
areas
for
applying
large
language
models
(LLMs)
in
supply
chain
management
through
data
triangulation.
involved
the
synthesis
of
33
published
articles
a
total
3421
social
media
documents,
including
tweets,
posts,
expert
opinions,
industry
reports
on
utilizing
LLMs
management.
By
employing
BERT
models,
four
core
themes
were
derived:
Supply
optimization,
risk
security
management,
knowledge
automated
contract
intelligence,
which
provides
present
status
LLM
chain.
The
results
this
will
empower
managers
prospective
applications
improvement,
affording
them
comprehensive
understanding
antecedents,
decisions,
outcomes
detailed
framework.
insights
garnered
from
are
highly
valuable
both
researchers
managers,
equipping
harness
latest
advancements
technology
its
role
within
Applied Sciences,
Journal Year:
2024,
Volume and Issue:
14(7), P. 3036 - 3036
Published: April 4, 2024
ChatGPT
plays
significant
roles
in
the
third
decade
of
21st
Century.
Smart
cities
applications
can
be
integrated
with
various
fields.
This
research
proposes
an
approach
for
developing
large
language
models
using
generative
artificial
intelligence
suitable
small-
and
medium-sized
enterprises
limited
hardware
resources.
There
are
many
AI
systems
operation
development.
However,
technological,
human,
financial
resources
required
to
develop
impractical
enterprises.
In
this
study,
we
present
a
proposed
reduce
training
time
computational
cost
that
is
designed
automate
question–response
interactions
specific
domains
smart
cities.
The
model
utilises
BLOOM
as
its
backbone
maximum
effectiveness
We
have
conducted
set
experiments
on
several
datasets
associated
validate
model.
Experiments
English
Vietnamese
languages
been
combined
low-rank
adaptation
cost.
comparative
experimental
testing,
outperformed
‘Phoenix’
multilingual
chatbot
by
achieving
92%
performance
compared
‘ChatGPT’
benchmark.
